19 open positions available
Develop scalable user-centric applications partnering with product and design teams to define requirements and deliver end-to-end solutions. | Bachelor's degree in a technical field, 2+ years software development experience, proficiency in Javascript, Python, or Java, and strong communication skills. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Campaign Manager is the platform businesses use to plan, run, and measure advertising on LinkedIn, and it powers a multi-billion-dollar business. Our team owns the core of that experience: how advertisers create and manage campaigns, and how they understand performance in Marketing Overview. Our goal is to make advertising on LinkedIn simple enough that any business can succeed at it, regardless of size or sophistication. We care about advertiser outcomes and growth rather than features shipped, so engineers here work directly with product, design, data science, and go-to-market partners to decide what to build and ship it to advertisers. Responsibilities You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. Partner with product and design to work through ambiguous requirements and make sound product and engineering tradeoffs. Instrument experiences, evaluate results, and use experiments and product data to guide iteration. Collaborate across frontend, backend, data, and machine learning systems to deliver reliable end-to-end experiences. Develop reusable patterns and components that support a unified campaign creation experience. You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. Qualifications Basic Qualifications: • BA/BS in Computer Science or related technical field or equivalent practical experience • 2+ years of industry experience in software design, development, and algorithm related solutions. • 2+ years programming experience in languages such as Javascript, HTML, CSS, Python, Java, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: · BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. Strong communication and collaboration skills across engineering, product, design, and data disciplines. Experience using instrumentation, experimentation, or product metrics to understand and improve user experiences Sound judgment in frontend architecture, state management, component design, testing, and API integration. Experience building polished user interfaces with close attention to usability, performance, accessibility, and maintainability. Experience with Rest, GraphQL, and server-side web technologies (eg: Java, Python). Good knowledge of SQL Comfort using Codex, Cursor, Claude, or comparable agentic coding tools in day-to-day software development. Suggested Skills: Full stack – HTML, CSS, Javascript, Java, Python, SQL, REST, GraphQL Additional Information You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $129,000 to $212,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC3/8 Department: Engineering
Advise customer success leadership to drive revenue growth and operational excellence through data-driven insights and strategic initiatives. | Bachelor's degree with 2+ years in sales or business operations, proficiency in Excel, PowerPoint, SQL, and AI for data analysis. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in our New York office. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As a Sales Strategy & Operations Associate, you will act as an advisor to leaders in the Customer Success (CS) organization and be responsible for helping crack the most important strategic and operational problems facing the business. Additionally, you will assess business performance and derive actionable insights focused on driving revenue growth, sales productivity, and customer value. You will also help drive operational excellence, ensuring data and operational foundations are maintained to allow the business to run efficiently. This individual is also responsible for leading, executing, and scaling new initiatives in partnership with cross-functional stakeholders. Responsibilities: Advise senior members of the CS organization on growing and optimizing their businesses by making data-driven, actionable recommendations that help them achieve their long-term strategic priorities Track business performance and provide insights and recommendations to advise CS leadership and inform day-to-day decisions Lead operational processes of the CS organization, such as territory management, reporting, and dashboard development Drive strategic planning processes through data-driven recommendations, including customer segmentation, headcount planning, and territory planning Lead and provide recommendations on a variety of strategic, cross-functional projects that will shape LinkedIn’s go-to-market motion. Present insights and recommendations to executives and global Sales Operations partners Establish strong working relationships with peers in other Sales Operations teams and cross-functional partners (Business Operations, Sales leadership, HR, Finance, and Systems teams) to achieve objectives Qualifications Qualifications Basic Qualifications: BA/BS degree in business, operations, analytics, or related field 2+ years of experience in Sales Operations, Business Operations, Management Consulting, Investment Banking, or a related analytical/operational role 2+ years of experience with Excel and PowerPoint Experience with SQL or related language Experience leveraging AI for data analysis and synthesis Preferred Qualifications: Ability to leverage numbers and insights to influence and drive sound decision making Advanced knowledge of Microsoft Excel; expertise in data analysis and modeling Experience in communicating effectively, project and time management, writing and presenting, and the ability to confidently interact with senior management Ability to build strong partnerships and collaborate with stakeholders Strong attention to detail and ability to see insights beyond the numbers to drive sound decision making Ability to flex between day-to-day operations/project management and broader strategic initiatives Motivation to challenge the status quo and continually innovate Ability to effectively solve complex problems from high priority strategic initiatives MBA/MA/MS degree in business, analytics, or related field Suggested Skills: Excel Data Analysis SQL Stakeholder management LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $89,000 to $145,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC2/7 Department: GBO
Own front-end development and collaborate with teams to build performant, secure, accessible user experiences. | Bachelor's degree and at least 1 year of software design and development experience with proficiency in JavaScript, HTML, CSS, Python, or Java. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The LinkedIn Web Infrastructure team is responsible for building and maintaining the company’s core web technology stack, including frameworks, tools, libraries, and services. These technologies power the day-to-day development workflows of all web engineers at LinkedIn and form the foundation of the company’s web ecosystem. Our mission is to provide scalable, robust, and developer-friendly technical solutions to all web product teams across LinkedIn, enabling them to build high-quality user experiences more efficiently. We continuously drive innovation in web technologies to ensure that LinkedIn’s web platform remains industry-leading in performance, reliability, and developer productivity. We are currently focused on developing LinkedIn’s next-generation product development framework, a strategic initiative aimed at significantly improving development velocity, unifying technical standards across teams, and building stronger foundational capabilities for the AI-driven future of web experiences.If you’re excited about building world-class web infrastructure and creating technology that empowers thousands of engineers and impacts hundreds of millions of users, we’d love to have you join us! Job Description: Responsibilities: • You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience. • You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology. • Your specific expertise will be required to make the site delightful, secure, performant, and accessible to all our members. Qualifications Basic Qualifications: • BA/BS in Computer Science or related technical field or equivalent practical experience • 1+ years of industry experience in software design, development, and algorithm related solutions • Experience programming in languages such as Javascript, HTML, CSS, Python, Java, etc. Preferred Qualifications: * 2+ years of relevant work experience . * MS or PhD in Computer Science or related technical discipline . Suggested Skills: • Javascript • HTML/CSS • Web Development • Advanced Programming Skills You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $104,000 to $171,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC2/7 Department: Engineering
Own front-end development for products while collaborating with designers and engineers to launch features and iterate on existing ones, implementing cutting-edge technologies to ensure security, performance, and accessibility. | Bachelor's degree in Computer Science or related field and at least 1 year of industry experience in software development with proficiency in Javascript, HTML, CSS, Python, or Java. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The LinkedIn Web Infrastructure team is responsible for building and maintaining the company’s core web technology stack, including frameworks, tools, libraries, and services. These technologies power the day-to-day development workflows of all web engineers at LinkedIn and form the foundation of the company’s web ecosystem. Our mission is to provide scalable, robust, and developer-friendly technical solutions to all web product teams across LinkedIn, enabling them to build high-quality user experiences more efficiently. We continuously drive innovation in web technologies to ensure that LinkedIn’s web platform remains industry-leading in performance, reliability, and developer productivity. We are currently focused on developing LinkedIn’s next-generation product development framework, a strategic initiative aimed at significantly improving development velocity, unifying technical standards across teams, and building stronger foundational capabilities for the AI-driven future of web experiences.If you’re excited about building world-class web infrastructure and creating technology that empowers thousands of engineers and impacts hundreds of millions of users, we’d love to have you join us! Job Description: Responsibilities: • You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience. • You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology. • Your specific expertise will be required to make the site delightful, secure, performant, and accessible to all our members. Qualifications Basic Qualifications: • BA/BS in Computer Science or related technical field or equivalent practical experience • 1+ years of industry experience in software design, development, and algorithm related solutions • Experience programming in languages such as Javascript, HTML, CSS, Python, Java, etc. Preferred Qualifications: * 2+ years of relevant work experience . * MS or PhD in Computer Science or related technical discipline . Suggested Skills: • Javascript • HTML/CSS • Web Development • Advanced Programming Skills You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $104,000 to $171,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC2/7 Department: Engineering
Define technical strategy and architecture for identity and verification systems ensuring scalability, reliability, and security while leading cross-functional teams. | Bachelor's degree and 4+ years experience with deep expertise in distributed systems, API design, and large-scale data storage. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Team Description: LinkedIn’s Trust Verifications team is building the identity and trust infrastructure that helps make LinkedIn a safer and more authentic professional network. Our systems power verification experiences and trusted identity signals across LinkedIn, supporting use cases spanning member identity, employment and workplace verification, trusted hiring experiences, and portable professional identity across partner ecosystems. The technical problems we solve sit at the intersection of digital identity, trust and abuse prevention, distributed systems, high-scale serving infrastructure, partner APIs, and member-facing product experiences. We build platforms that integrate with multiple identity providers and verification methods, process signals across real-time, nearline, and offline systems, and make trustworthy verification data available safely and reliably across LinkedIn products and external integrations. About the role: We are looking for a Staff Software Engineer to serve as a system architect and technical anchor for our Trust and Verifications organization. This role sits at the intersection of large-scale distributed systems, identity and trust infrastructure, product architecture, reliability, data, and business strategy. You will partner closely with engineering and product leadership to translate ambiguous product and business opportunities into scalable technical strategies and durable platform capabilities. You will be expected to see beyond an individual service or project: understand how systems interact across organizational boundaries, identify where common abstractions and platform investments are needed, and make architectural decisions that allow the organization to move faster over time. The ideal candidate combines deep backend and distributed-systems expertise with strong product judgment. You can move fluidly between business goals, product requirements, APIs, data models, storage systems, distributed workflows, operational characteristics, and measurable outcomes. You bring a high technical bar, meticulous attention to detail, strong ownership, intellectual curiosity, and a solutions-oriented mindset. You proactively identify risks, failure modes, and edge cases; communicate clearly when trade-offs exist; and help teams converge on pragmatic architectures that are scalable, reliable, secure, and evolvable. Responsibilities Own Technical Strategy & Architecture: Define the technical strategy and architecture for a major product or platform area. Make long-term architectural decisions around system boundaries, APIs, data models, modularity, scalability, extensibility, security, and reliability. Translate Product Strategy into Systems: Work closely with product and engineering leadership to understand business goals and translate them into scalable technical capabilities. Recognize when an individual product requirement should become a reusable platform primitive rather than a one-off implementation. Design Large-Scale Distributed Systems: Architect complex distributed systems spanning synchronous APIs, asynchronous workflows, messaging and event-driven architectures, caching, relational and non-relational storage, and distributed state management. Build for Trust & Integrity: Design systems where correctness, data integrity, security, privacy, and abuse resistance are first-class architectural considerations. Think deeply about state transitions, data provenance, consistency, authorization, failure handling, and edge cases. Design for Reliability & Operational Excellence: Build systems that are observable, resilient, recoverable, and easy to operate. Proactively identify failure modes, capacity risks, dependency failures, data consistency issues, and operational edge cases before they become production incidents. Connect Architecture to Metrics: Define the engineering, product, and operational metrics required to understand whether a system is succeeding. Ensure architectures include the telemetry and observability needed to measure reliability, performance, adoption, conversion, quality, and business impact. Navigate Ambiguity: Take loosely defined or cross-cutting problems and create clarity. Ask the questions that expose hidden assumptions, identify technical and product trade-offs, and help teams converge on a clear strategy. Lead Across Organizational Boundaries & Raise the Engineering Bar: Set a high standard for system design, implementation quality, testing, code review, observability, and operational readiness. Identify systemic engineering weaknesses and drive investments that improve the organization as a whole. Remain Hands-On: Stay sufficiently close to implementation to validate architecture through code, prototypes, design reviews, debugging, and critical-path development. Multiply Other Engineers: Mentor senior engineers, create clear technical ownership boundaries, lead design and RFC reviews, and help other engineers develop stronger system-design and technical-leadership skills. Qualifications Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 4+ years experience in software design, development, and algorithm related solutions. 4+ years programming experience in object-oriented programming languages such as Python, Java, JavaScript, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications BS and 8+ years of relevant experience, MS and 7+ years of relevant experience, or PhD and 4+ years of relevant experience. Demonstrated experience owning the architecture of large-scale distributed systems serving high-volume, business-critical workloads. Deep understanding of distributed-systems fundamentals, including consistency, availability, idempotency, retries, distributed state, failure recovery, and asynchronous system design. Strong experience with relational and non-relational storage systems, including data modeling, indexing, consistency models, scaling strategies, and operational trade-offs. Proven experience designing event-driven and message-streaming architectures and systems spanning online, nearline, streaming, and offline processing. Strong experience designing APIs and platform abstractions consumed by multiple products, engineering teams, or external partners. Experience building highly reliable systems with strong practices around observability, SLOs, capacity management, dependency resilience, failure isolation, and automated recovery. Strong product judgement, analytical and metrics orientation, with experience connecting infrastructure and system metrics to product, customer, or business outcomes. Proven ability to take ambiguous, cross-functional business problems and convert them into clear technical strategies and multi-quarter architectural roadmaps. Experience authoring technical strategy documents and RFCs and driving architecture decisions across multiple engineering teams. Demonstrated ability to influence senior engineers, product leaders, and engineering leadership across organizational boundaries. Experience with digital identity, trust, security, privacy, fraud and abuse prevention, API platforms, or other high-integrity systems is a strong plus. Core Skills for Success Technical Leadership Architectural Mastery Ops Excellence, Code Review and Quality Assurance Meticulous Risk Analysis & Edge-Case Identification around Trust & Safety Mentoring and Knowledge Sharing You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 - $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering
Scale distributed applications, provide technical leadership, design scalable architectures, mentor engineers, and collaborate on product development. | Bachelor's degree in a technical field, 2+ years industry experience (5+ preferred), strong data structures, algorithms, system design, and proficiency in Python or JavaScript. | LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. You will lead the technical execution of complex features and mid-sized initiatives, breaking down ambiguous requirements into clear, actionable engineering milestones. You will design component-level architectures and data models that are highly scalable, fault-tolerant, and easily maintainable by the broader team. You are expected to raise the bar for code quality and engineering excellence through rigorous code reviews, comprehensive technical design documents, and proactive technical debt reduction. You will utilize AI tools throughout the SDLC to boost design, coding, and review productivity, and contribute to shared skills and best practices for the overall team You will work with product managers and dependent engineering teams to negotiate technical trade-offs, define service boundaries, and ensure on-time delivery. You will learn to balance tactical day-to-day execution with long-term technical debt management and strategic component roadmapping. Qualifications Basic Qualifications BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. 2+ years of industry experience. Preferred Qualifications BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. Experience in designing and building infrastructure and web services at large scale. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. Experience building web applications and services with IDEs, ant, junit, etc. Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Proven track record of mentoring junior engineers and leading small to mid-sized project teams. Deep expertise in system design, data modeling, concurrency patterns, and performance tuning at scale. Proven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making. Suggested Skills API Development Advanced Programming Skills Database Management Performance Optimization and Scalability Collaboration You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $129,000 - $212,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC3/8 Department: Engineering
Scale distributed applications, develop user-centric services, and maintain system stability with CI/CD pipelines. | Bachelor's degree and at least one year of software development experience with proficiency in mainstream programming languages and strong knowledge of data structures, algorithms, and database design. | LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity You will own end-to-end feature delivery, translating ambiguous product requirements into clean, testable, and maintainable production code. You will write high-quality software that is rigorously unit-tested, peer-reviewed, and deployed using robust continuous integration and continuous deployment (CI/CD) pipelines. You will utilize AI tools throughout the SDLC to boost design, coding, and review productivity You will design extensible APIs and backend services that elegantly handle synchronous and asynchronous workflows, making deliberate architectural trade-offs between speed and scalability. You will design and optimize data layers, selecting appropriate relational or non-relational database architectures to handle distributed transactions and large-scale data storage. You are expected to demonstrate technical ownership, driving engineering best practices like code health, thorough documentation, and comprehensive post-mortems. You are expected to operate with agility, delivering high-impact features with speed and operational quality without compromising system stability. You will work with cross-functional partners, including Product Management, Design, and Data Science, to build intuitive, reliable, and user-centric application experiences. You will learn to navigate and contribute to highly complex, large-scale enterprise codebases and infrastructure networks. You will learn how to leverage advanced telemetry, monitoring, and profiling tools to proactively diagnose and resolve production bottlenecks. Qualifications Basic Qualifications: BA/BS in Computer Science or related technical field or equivalent practical experience 1+ years of industry experience in software design, development, and algorithm related solutions Experience programming in languages such as Python, Java, Javascript, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: Experience in designing and building infrastructure and web services at large scale. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. 2+ years of relevant work experience. MS or PhD in Computer Science or related technical discipline System Design: Proven experience designing, building, and operating robust web services and distributed infrastructure at internet scale. Core Competencies: Strong foundational knowledge of computer science fundamentals, including advanced data structures, algorithms, and modular software design patterns. Tech stack: Proficiency in at least one mainstream language (e.g., Java, C++, Python, or JavaScript/TypeScript). Solid understanding of relational and non-relational database design, distributed transaction management, and query optimization. Familiarity with modern development ecosystems, including advanced IDEs, build automation, containerization, and automated testing frameworks. Proven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making. Suggested Skills: API Development Programming Proficiency Performance Optimization and Monitoring Collaboration You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $108,900 - $147,400. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC2/7 Department: Engineering
Lead security remediation strategies and cross-functional security initiatives across production and enterprise environments. | Bachelor's degree and 7+ years in technical program management with 3+ years on complex security initiatives and strong security technical expertise. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. About the team: LinkedIn's members entrust us with their information every day and we take their security seriously. Our core value of putting our members first powers all the decisions we make, including how we manage and protect the data of our members and customers. Information Security at LinkedIn is dedicated to protecting and securing business-critical member data and company assets. Our core mission is to empower LinkedIn to create a secure and thriving platform for every member of the global workforce. We’re hiring a Staff Security Technical Program Manager to drive execution across our Production and Enterprise Security organization. You’ll own critical programs such as vulnerability management, lead cross-functional security initiatives, and establish the operating rhythm that keeps teams aligned on priorities, OKRs, milestones, and outcomes. You’ll bring structure to complex programs, surface risks and dependencies early, drive decisions to closure, and ensure commitments don’t fall through the cracks. You’ll provide leadership with clear, accurate program status while serving as a force multiplier for engineers by removing blockers and creating clarity without adding unnecessary process. About the role: We are seeking a Security Technical Program Manager to join LinkedIn’s centralized TPM Infra organization. In this critical role, you will build and scale a mature production and enterprise security architecture to protect our global platform, members, and organizational assets. You will serve as a key driver across security governance, operational cadences, metrics telemetry, cross-functional program execution, and executive accountability for production and enterprise risk reduction. Responsibilities: Lead end-to-end security remediation strategy across the products and infra org by consolidating findings from threat models, code reviews, penetration tests, vulnerability assessments, audits, and postmortems into a unified backlog with clear ownership, prioritization, and defined SLAs. Establish standardized frameworks for risk identification, tracking, exception management, escalation paths, and remediation validation to ensure operational consistency across security programs. Define standardized metrics and telemetry dashboards to deliver actionable risk insights for leadership, enabling proactive tracking of systemic vulnerabilities and cross-team remediation accountability. Establish organizational operating rhythms, including goal setting, dependency mapping, key milestone tracking, and quarterly executive readouts, to maintain continuous visibility into OKR execution across security initiatives. Manage the vulnerability management lifecycle, including scanning scope, remediation cadences, risk exception workflows, and executive reporting on organizational risk posture. Partner with cross-functional stakeholders to ensure third-party security evaluations remain efficient, standardized, and transparent for internal requesters. Drive complex security programs from initiation to delivery by orchestrating work across Security, IT, Legal, HR, and Compliance partners while ensuring accountability on deliverables. Establish organizational operating rhythms, including sprint planning, OKR tracking, and backlog governance, to maintain continuous visibility into program execution. Elevate documentation standards for program specifications, standard operating procedures, architectural decisions, and incident action items to maintain clarity and discoverability. Establish metrics and key performance indicators to evaluate program effectiveness and convert security telemetry into actionable technical insights. Lead postmortem reviews and remediation governance for major security incidents, converting key takeaways into resilient architectural controls, automated mechanisms, and updated operating procedures. Define standardized metrics and telemetry dashboards to deliver actionable risk insights for leadership, enabling proactive tracking of systemic vulnerabilities and cross-team remediation accountability. Qualifications Basic Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Finance, or a related field. 7+ years of experience in technical program management, including a minimum of 3 years leading complex security initiatives. Demonstrated track record of orchestrating company-wide vulnerability management lifecycles, driving cross-functional remediation, establishing governance SLAs, and reporting posture metrics to leadership. Technical expertise to engage effectively with engineering teams, evaluate security risk factors, and navigate fundamental information protection principles across complex domains. Technical depth to engage effectively with security engineers, assess threat severity, evaluate exploitability, and critically review risk determinations. Extensive experience managing agile operating rhythms, OKR tracking, task management platforms (such as Jira or Linear), documentation repositories, and executive reporting dashboards. Exceptional written communication skills with an emphasis on clarity, brevity, and structured documentation. Proven ability to partner effectively across engineering, IT, Legal, HR, and Compliance teams to achieve business alignment and deliver organizational results. Collaborative mindset with high emotional intelligence and an inclusive approach to problem-solving across diverse organizations. Preferred Qualifications BS and 8+ years of relevant work experience Demonstrated history of partnering with engineering organizations to deliver high-impact, enterprise-scale security initiatives. Outstanding written and verbal communication capabilities, with a proven track record of adapting complex messaging for diverse technical and executive audiences. Proven ability to influence cross-functional partners and engineering leadership to align priorities and advance key security programs. Suggested Skills Strategic Portfolio Management Executive Influence & Stakeholder Leadership Enterprise Program Delivery Operating Model & Governance Executive Communication & Risk Management Comprehensive understanding of fundamental information security paradigms and security architecture principles Additional Information LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $144,000 to $237,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering
Lead vision and strategy for a new messaging and community product from research through launch and iteration. | Bachelor's degree plus 7+ years product management experience, preferably with messaging/community products and strong cross-functional leadership. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in New York, San Francisco, Mountain View, or Bellevue. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Our mission. Gen Z is entering the workforce at scale and bringing new expectations for how professional relationships begin and grow. They are gravitating toward spaces where people with shared interests can exchange ideas, learn from one another, and build identity and trust over time. Unlike one-way content experiences, communities create an ongoing loop of participation and belonging: every conversation adds context, strengthens relationships, and gives people a reason to return. By bringing together trusted identity, the professional graph, messaging, and global reach, we can create spaces where people return, contribute, and build relationships that move their careers and lives forward. What this role is: We are looking for a Principal Product Manager to build a new member product at the intersection of messaging and communities. Think of the best parts of modern messaging and community products, rebuilt for the professional world and powered by what makes LinkedIn unique. This is a true zero-to-one role. You will define the vision, find the wedge, validate the core use cases, launch an MVP, and build toward product-market fit. There is no established playbook. We need someone who is excited to write it. What you’ll do: You will operate like a founder: close to members, close to the product, and close to the details. You will move from insight to prototype to launch quickly, learn from what works and what does not, and bring engineering, design, data science, research, trust, and operations along with you. You will bring deep expertise in messaging and communities: how conversations start and persist, why people join and return, and how product mechanics shape participation and belonging. Success is not simply more messages sent. It is healthy, retained communities where members keep showing up and form relationships that matter. Why are we here: The best opportunities often come through people: someone who shares your interests, understands what you care about, introduces a new idea, or opens a door you did not know existed. And today, your network is far more fluid than a list of connections. It includes the people you learn from, exchange ideas with, and build relationships with over time in the communities where you belong. Our job is to help every professional find their people; and turn shared interests into relationships that move their work and lives forward Responsibilities Define the vision and strategy for a new LinkedIn experience spanning messaging and professional communities. Discover the strongest member needs, identify the right initial wedge, and turn those insights into a focused roadmap. Lead the product from concept through prototype, MVP launch, early adoption, and rapid iteration. Define the core product systems that help people discover, join, participate in, and return to healthy communities. Establish product-market fit signals centered on retention, repeat participation, community health, and meaningful professional relationships. Build trust, safety, moderation, and member control into the product and operating model from the beginning. Make clear trade-offs across member value, quality, speed, safety, and long-term scale. Align cross-functional teams and senior leaders around the opportunity, priorities, risks, progress, and key decisions. Qualifications Basic Qualifications BS/BA Degree in a technology related field OR equivalent experience 7+ years of experience in product management or equivalent role Preferred Qualifications 8+ years of experience in product management or an equivalent role. 5+ years of experience building and scaling high-quality messaging or community products for large and diverse audiences. Deep product judgment across conversation design, discovery, identity, participation, retention, notifications, trust and safety, moderation, and community health. A hands-on builder who can move easily between strategy and execution, make decisions with imperfect information, and lead through ambiguity. Strong technical, analytical, communication, and cross-functional leadership skills. Suggested Skills AI Fluency Zero-to-One Product Development Consumer Product Strategy Trust, Safety, and Community Health LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $187,000 to $305,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC5/10 Department: Product
Lead audience strategy, positioning, messaging, and go-to-market plans for product features to drive growth. | Bachelor's degree and 3+ years marketing experience with strong communication skills in fast-paced environments. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role is based in either San Francisco, Mountain View, Chicago or New York. LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day — and content sits at the heart of this. We are seeking a highly motivated Product Marketing Manager to join our Consumer Product Marketing team, focused on Creators, a critical audience powering our content ecosystem. As a Product Marketing Manager for Creators, you will play a critical role in shaping the future of the creator experience on LinkedIn. You will develop compelling narratives around our product, deeply understand the needs and behaviors of creators, and influence product strategy through audience insights. You will partner closely with Product, Engineering, Design, Research, Data Science, Communications and partner Marketing teams to bring innovative experience to market that help creators share their knowledge and expertise with the world’s largest professional network. You’ll keep a close pulse on Creator sentiment across the platform, and funnel these insights back into our product teams. Responsibilities: Define audience strategy, positioning, and messaging: Craft differentiated narratives that clearly communicate how LinkedIn helps creators sharing their expertise and knowledge with their audiences in a way that helps them grow their businesses, build their brand and ultimately earn revenue. Be the voice of the Creator: Develop a deep understanding of creator needs, motivations, pain points, and behaviors through qualitative and quantitative research. Bring audience insights into product planning, roadmap discussions, and company strategy to ensure LinkedIn continues to earn and maintain trust with professionals worldwide. Influence product strategy and roadmap: Partner closely with Product, Design, Engineering, and Research teams to identify unmet needs, market opportunities, and emerging trends. Use competitive intelligence, industry signals, and member insights to help shape product investments and prioritize experiences that improve creator experiences. Lead go-to-market strategy and execution: Own end-to-end go-to-market plans for new features, products, and AI-powered experiences. Drive cross-functional alignment across Product, Marketing, Communications, Customer Success, and other stakeholders to ensure successful launches and adoption globally. Drive audience growth, engagement, and adoption: Identify opportunities to increase awareness, engagement, retention, and trust among creators. Partner with lifecycle, brand, and growth marketing teams to create programs that connect product value to member needs across the job search journey. Evangelize the Creator perspective: Serve as an internal and external champion for creators. Communicate audience insights, product strategy, and market trends across the organization, and help establish LinkedIn as the most trusted platform for creators to share their perspectives and build their audience. Ready to share content on LinkedIn to speak directly to creators & walk in their shoes. Qualifications Basic Qualifications: Bachelor’s degree or equivalent experience. 3+ years of marketing experience, with a preference for product marketing Preferred Qualifications: 3+ years of product marketing experience 3+ years of experience marketing consumer-facing digital products and creator experience Stellar verbal and written communication skills, with the ability to concisely distill complex technical information into digestible, compelling narratives to effectively present ideas. Willing to lead by example, comfortable sharing content on LinkedIn and other platforms to act as “customer zero” for the products we build. Knack for visual communication, able to bring a compelling story to life in slides, being nimble and self-sufficient with deck design, etc. Exceptional interpersonal skills, with the ability to navigate many types of personalities and to establish cross-functional partnerships across the organization. Ability to operate in a fast-paced and demanding environment, manage multiple projects simultaneously, and prioritize time and resources based on business impact Suggested Skills: Creator-first product positioning Enablement of market-facing teams Narrative architecture & scalable messaging systems AI-enabled storytelling & deck creation LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $195,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC3/8 Department: Marketing & Communications
Design and evolve incident management platforms and participate in on-call rotations for outage triage and coordination. | Bachelor's degree and 6+ years experience in software development or reliability engineering with distributed systems and backend language proficiency. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Site Health Platform sits at the core of LinkedIn’s Reliability Infrastructure organization, with a primary focus on the end-to-end incident management ecosystem. Our mission is for every member and customer to experience LinkedIn as "always on", every engineer to benefit from a more insightful and proactive site-wide reliability ecosystem, and every business and product owner to be well-informed about service disruptions as they occur. We own the full incident lifecycle across thousands of services and multiple regions, from incident response and mitigation, through problem management and post-incident learning. The platforms we build are the backbone of how LinkedIn detects issues, coordinates incident response, captures context, and turns outages and near misses into structured, actionable insights. By transforming incidents into data and learnings, we enable teams to systematically improve reliability over time. Our work informs engineering priorities, infrastructure investments, capacity planning, and executive decision-making, ensuring the network is dependable when it matters most. You will be exposed to many different technologies, architectures, and systems hosted in state-of-the-art data centers across the globe. Responsibilities: Designing and evolving the core incident management platforms that power LinkedIn’s full incident lifecycle, from detection and response to problem management and prevention, across thousands of services and teams. Serving in a critical on-call rotation, providing expert incident triage and coordination during high-severity outages. Partnering closely with service owners and product teams to diagnose issues quickly, mitigate member impact, and drive timely resolution under pressure. Transforming raw, unstructured incident data into clear, actionable intelligence using AI and LLM-based systems, including automated summarization, classification, root cause signals, and mitigation recommendations. Building analytics and insights that surface systemic reliability risks, recurring failure patterns, and cross-service dependencies, enabling org-level prioritization rather than isolated, service-by-service fixes. Building platforms and tools that enable realistic, fleet-wide stress testing of data center and regional capacity, validating incident readiness across dependencies, traffic patterns, and growth scenarios before they impact a significant production outage. Driving consistency, clarity, and quality in how incidents are declared, managed, reviewed, and learned from, raising the reliability bar across a large, fast-moving engineering organization. Influencing service architecture, SLOs, and reliability standards through platforms, data, and technical leadership, ensuring improvements are durable, measurable, and adopted at scale. Qualifications Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, or related technical field or equivalent practical experience. Many postings also prefer or require an advanced degree (MS/PhD) for Staff-level roles. 6+ years of professional experience in software development, distributed systems, or reliability engineering. Experience leading technical projects/providing architectural leadership Experience building products and operating large-scale distributed systems. Experience with two or more backend languages such as Go, Python or Java with a track record of owning complex production systems. Full-stack engineering experience, including building user-facing web applications and operational dashboards using modern frontend frameworks such as React.js, along with backend APIs and data pipelines. Understanding of web development fundamentals including API design, performance, accessibility and building intuitive interfaces for engineers and operational users. Understanding of reliability engineering principles, incident management, observability and operating systems under failure conditions. Demonstrated ability to lead technical design across teams, influence architecture beyond direct ownership and drive adoption through well-designed platforms. Debugging and root cause analysis skills, with the ability to communicate complex technical findings clearly to engineers, partners and leadership. Preferred Qualifications: Experience applying AI or LLM-based techniques to operational or incident data, including automated summarization, classification, root cause hypothesis generation or reliability recommendations. Familiarity with vector databases and retrieval-based systems used to power context-aware analytics, search or agentic workflows. Frontend engineering experience beyond basic UI, including building data-dense, high-signal interfaces for engineers using React.js, modern state management and visualization libraries. Experience designing end-to-end full-stack systems where frontend, backend, data and reliability concerns are considered holistically. Background in building internal developer platforms, observability tools, or incident response systems used at scale. A demonstrated ability to simplify complex workflows, reduce operational toil and replace manual processes with well-designed automation. Suggested Skills: High Severity Incident Response Production Troubleshooting & Root Cause Analysis Distributed Systems and Linux fundamentals Software Development (Go / Python / Java) & Architecture Observability & Incident Detection Additional Information LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering
Design, implement, and optimize large-scale distributed systems and collaborate with cross-functional teams to build infrastructure features. | Bachelor's degree and 1+ year in software design with proficiency in programming languages and distributed systems. | LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works. Job Description As part of our world-class software engineering team, you will help build the next-generation infrastructure and platforms that power LinkedIn’s products, business, and AI-first future. This includes data infrastructure, storage systems, streaming platforms, traffic and network infrastructure, and other foundational platforms that enable reliable, scalable, and AI-first product experiences. Our infrastructure enables teams across LinkedIn to build, deploy, and operate AI-first products at scale. You will work on foundational systems that make it possible to process massive volumes of data, serve low-latency online experiences, power personalized and AI-first user experiences, and ensure reliability, security, privacy, and compliance across the full technology stack. We are building next-generation data infrastructure, including storage, streams, media, and analytics platforms. You will help scale LinkedIn’s infrastructure to handle massive data growth across the LinkedIn ecosystem as we continue to grow our membership, products, and AI-first experiences. Bring your experience in distributed systems and algorithms, along with a strong systems orientation across concurrency, scalability, performance, caching, queuing, and distributed data storage. You should be excited to work on cutting-edge infrastructure systems that make a real impact at company scale. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. You will participate in design and code reviews to maintain our high development Standards. You will partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity. Qualifications Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience 1+ years of industry experience in software design, development, and algorithm related solutions Experience programming in Object-oriented languages such as Java, C++, Python, Go, C#, Rust and/or Functional languages such as Scala Preferred Qualifications 2+ years of relevant work experience - MS or PhD in Computer Science or related technical discipline Experience designing building and triaging complex, large scale distributed systems Experience with industry, opensource, and/or academic research in technologies such as GCP, S3, Azure, Iceberg, Spark, Flink, Trino, Airflow, Kubernetes, GraphQL, GRPC, Kafka, Pinot, ClickHouse, or Cassandra. Suggested Skills Distributed systems Backend Systems Infrastructure Java/Golang/Rust/Python You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $120,000 - $195,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC2/7 Department: Engineering
Own technical vision and execution of Evaluation Operating System for AI agents and GenAI products, including building data pipelines and monitoring systems. | Bachelor's degree and 4+ years experience in deep learning, distributed systems, proficiency in Java, C++, Python, Go, or Rust, and AI agent development experience. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s Core AI is building the Evaluation Operating System (EOS), a foundational Agent Evaluation platform that defines how all AI agents and GenAI products at LinkedIn are measured, evaluated, and continuously improved in production. This is a brand-new, industry-defining problem space with no established playbook, focused on evaluating multi-step, non-deterministic, and personalized AI systems where traditional metrics and testing approaches fall short. EOS acts as the central intelligence layer for AI quality, combining large-scale data pipelines, evaluator models (e.g., LLM-as-a-judge, reward models), and real-time production monitoring to understand how AI systems behave, where they fail, and how to improve them. The platform includes capabilities like synthetic data generation, adversarial testing, golden dataset management, recursive Self Improving Agents and live “agent arena” experimentation frameworks (champion/challenger testing) to measure performance across multiple dimensions of quality. This platform also is responsible for tracing infrastructure for all LinkedIn AI Agents. As a Staff Engineer, you will own the end-to-end technical vision, architecture, and execution of this platform. This includes designing the data infrastructure for capturing and labeling interactions, building systems to train and deploy evaluation models, and creating real-time monitoring and feedback loops that detect regressions, model drift, and quality degradation in production. You’ll work closely with AI product teams, ML engineers, and infrastructure partners to embed evaluation deeply into the development lifecycle, making it possible for teams across LinkedIn to ship high-quality AI systems with confidence. This role sits at the intersection of distributed systems, data platforms, and machine learning, and is ideal for engineers who want to define how AI quality is measured at scale. The impact is company-wide: the systems you build will directly determine the quality ceiling, safety, and trustworthiness of every AI-powered experience at LinkedIn. Responsibilities Own the technical vision, architecture, and execution of the Evaluation Operating System (EOS), solving complex, open-ended challenges at the intersection of distributed systems, data infrastructure, and machine learning. Design and build large-scale evaluation infrastructure that enables LinkedIn teams to measure, understand, and continuously improve the quality, reliability, safety, and performance of AI agents and GenAI products. Work on reliable and scalable Tracing Infrastructure for LinkedIn AI Agents along with trace debuggability features. Architect scalable data pipelines and platforms for capturing, processing, labeling, and managing large volumes of AI interactions, evaluation data, golden datasets, and synthetic data. Build and evolve evaluation systems powered by LLM-as-judge, reward models, and other automated evaluators to assess AI systems across multiple dimensions of quality and performance. Develop experimentation and testing frameworks, including adversarial testing, champion/challenger experiments, and agent arena capabilities, to identify weaknesses and drive continuous improvement of AI systems. Establish real-time observability, monitoring, and feedback loops that detect regressions, model drift, quality degradation, and unexpected behavior in production AI systems. Partner closely with AI product teams, ML engineers, and infrastructure organizations to integrate evaluation deeply into the AI development lifecycle and establish consistent evaluation standards across LinkedIn. Lead multiple high-impact, cross-functional initiatives, influencing technical strategy and architectural decisions across AI Platforms and the broader engineering organization. Mentor and develop engineers, raise the technical bar, and help shape the engineering culture and practices of a growing AI platform organization. Build and Platformitize Recursive Self Improving Agents Qualifications Basic Qualifications: Bachelor’s Degree in Computer Science or related technical discipline, or equivalent practical experience 4+ years of experience in the industry with leading/ building deep learning systems. 4+ years of experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages Hands-on experience developing distributed systems or other large-scale systems. Hands-on experience building or evaluating AI Agents in Production. Preferred Qualifications: BS and 8+ years of relevant work experienceMS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience Previous experience working with geographically distributed co-workers. Outstanding interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SRE/SWE Engineers, Project Managers, etc. Experience building ML applications, LLM serving, GPU serving. Experience with search systems or similar large-scale distributed systems Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering, Co-author or maintainer of any open-source projects Familiarity with containers and container orchestration systems Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: Distributed systems and Backend Systems Infrastructure Java/Golang/Rust/Python ML Algorithm Development, Machine Learning and Deep Learning Information Retrieval, Recommendation Systems, Distributed Serving and Big Data Communication and Stakeholder Management You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $287,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering
Develop scalable, reliable, user-centric applications and provide technical leadership for large-scale engineering programs. | Experience in software design and development with proficiency in programming languages like Python or JavaScript, and knowledge of infrastructure and web services at large scale. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Team Description You will be part of the team responsible for building and evolving LinkedIn's personalization platform - the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context-aware experiences to over a billion members and enterprise customers. The personalization platform team makes every interaction on LinkedIn more relevant, valuable, and effective - enabling members to discover the right opportunities, connect with the most meaningful people and content, and help enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, we help members become more productive and successful while enabling organizations to achieve their business goals more efficiently. The systems the team builds empowers LinkedIn's product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity. Responsibilities • You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. • You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. • You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. • You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Qualifications • BA/BS in Computer Science or related technical field or equivalent practical experience • 1+ years of industry experience in software design, development, and algorithm related solutions • Experience programming in languages such as Python, Java, JavaScript, React, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: • Experience in designing and building infrastructure and web services at large scale. • Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. • Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. • Experience building web applications and services with IDEs, ant, JUnit, etc. • Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: • API Development • Programming Proficiency • Performance Optimization and Monitoring • Collaboration Additional Information You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $124,000 - $167,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you • Having interviews in an accessible location • Being accompanied by a service dog • Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Develop and scale distributed applications for LinkedIn's personalization platform with technical leadership and best engineering practices. | Experience in software design and development with programming skills in Python, JavaScript, or similar languages, and knowledge of scalable infrastructure and web services. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Team Description You will be part of the team responsible for building and evolving LinkedIn's personalization platform - the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context-aware experiences to over a billion members and enterprise customers. The personalization platform team makes every interaction on LinkedIn more relevant, valuable, and effective - enabling members to discover the right opportunities, connect with the most meaningful people and content, and help enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, we help members become more productive and successful while enabling organizations to achieve their business goals more efficiently. The systems the team builds empowers LinkedIn's product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity. Responsibilities • You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. • You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. • You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. • You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Qualifications • BA/BS in Computer Science or related technical field or equivalent practical experience • 1+ years of industry experience in software design, development, and algorithm related solutions • Experience programming in languages such as Python, Java, JavaScript, React, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: • Experience in designing and building infrastructure and web services at large scale. • Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. • Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. • Experience building web applications and services with IDEs, ant, JUnit, etc. • Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: • API Development • Programming Proficiency • Performance Optimization and Monitoring • Collaboration Additional Information You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $124,000 - $167,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you • Having interviews in an accessible location • Being accompanied by a service dog • Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Develop scalable, reliable user-centric applications and provide technical leadership for large-scale engineering programs. | Requires 1+ years software development experience with proficiency in languages like Python, JavaScript, and experience in large scale infrastructure and web services. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Team Description You will be part of the team responsible for building and evolving LinkedIn's personalization platform - the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context-aware experiences to over a billion members and enterprise customers. The personalization platform team makes every interaction on LinkedIn more relevant, valuable, and effective - enabling members to discover the right opportunities, connect with the most meaningful people and content, and help enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, we help members become more productive and successful while enabling organizations to achieve their business goals more efficiently. The systems the team builds empowers LinkedIn's product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity. Responsibilities • You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. • You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. • You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. • You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Qualifications • BA/BS in Computer Science or related technical field or equivalent practical experience • 1+ years of industry experience in software design, development, and algorithm related solutions • Experience programming in languages such as Python, Java, JavaScript, React, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: • Experience in designing and building infrastructure and web services at large scale. • Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. • Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. • Experience building web applications and services with IDEs, ant, JUnit, etc. • Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: • API Development • Programming Proficiency • Performance Optimization and Monitoring • Collaboration Additional Information You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $124,000 - $167,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you • Having interviews in an accessible location • Being accompanied by a service dog • Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Own frontend development and provide technical leadership to build world-class user experiences and execute cross-functional programs. | Bachelor's degree and 4+ years experience in software design and development with proficiency in object-oriented programming and modern JavaScript frameworks. | LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business.The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: · You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience. · You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology. · Your specific expertise will be required to make the site delightful, secure, performant and accessible to all our members. · You will meet with colleagues including product managers, designers and other engineers assigned to your project(s). · You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Qualifications Basic Qualifications: · BA/BS Degree in Computer Science or related technical discipline, or related practical experience. · 4+ years experience in software design, development, and algorithm related solutions. · 4+ years programming experience in object-oriented programming languages such as Python, Java, JavaScript, React, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications: · BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience · Experience writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc. ) · Expert-level knowledge of Ember. · Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability. · Prior experience building public API's with Java. · Experience building large-scale consumer facing products. Suggested Skills: · Technical Leadership · Mentoring and Knowledge Sharing · Code Review and Quality Assurance · Advanced Programming Skills · Web Development You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. The pay range for this role is $156,000 - $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering
Develop and scale distributed, high-volume user-centric applications with technical leadership across cross-functional programs. | Bachelor's degree and at least 1 year of software design and development experience with proficiency in Python, Java, or JavaScript and strong data structures and algorithms skills. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Team Description You will be part of the team responsible for building and evolving LinkedIn’s personalization platform – the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context-aware experiences to over a billion members and enterprise customers. The personalization platform team makes every interaction on LinkedIn more relevant, valuable, and effective – enabling members to discover the right opportunities, connect with the most meaningful people and content, and help enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, we help members become more productive and successful while enabling organizations to achieve their business goals more efficiently. The systems the team builds empowers LinkedIn’s product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity. Responsibilities You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Qualifications BA/BS in Computer Science or related technical field or equivalent practical experience 1+ years of industry experience in software design, development, and algorithm related solutions Experience programming in languages such as Python, Java, JavaScript, React, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: Experience in designing and building infrastructure and web services at large scale. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. Experience building web applications and services with IDEs, ant, JUnit, etc. Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: API Development Programming Proficiency Performance Optimization and Monitoring Collaboration Additional Information You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $124,000 - $167,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC2/7 Department: Engineering
Lead control design and compliance initiatives to ensure regulatory adherence in finance processes. | 7+ years in accounting, audit, risk, or finance systems with proficiency in internal controls and SOX readiness. | LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in San Francisco or Sunnyvale. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are seeking a Risk & Compliance Manager to join LinkedIn’s Finance Risk & Compliance (FRC) team in our Finance Solutions & Controllership (FSC) organization. The ideal candidate is passionate about risk, controls, compliance, quality, and operational excellence. The FRC team is made up of compliance professionals with diverse backgrounds and skill sets who have set a high bar for fostering a culture of compliance and integrity and providing effective and scalable compliance solutions that strengthen and protect our trusted brand. As part of the team driving risk & compliance for Finance, this role will work closely with multiple Finance stakeholders, cross-functional leaders, technical teams, and other compliance pillars on various controls, compliance, and quality initiatives. As a Finance Risk & Compliance Manager, you will play a crucial role in ensuring that our high-tech company adheres to regulatory requirements and industry standards and lead strategic initiatives from a risk and compliance perspective, enabling the Finance organization to scale while maintaining strong governance. This position offers the opportunity to work in a dynamic and fast-paced environment, where your contributions will directly impact the company's compliance posture and operational success. Best of all, you’ll join a well-rounded, collaborative team that values diversity, humor, and teamwork. Responsibilities: Leads control design and readiness efforts for Finance programs and projects, proactively identifying risks and ensuring effective controls are embedded into process and system design, including supporting design, implementation, and testing of controls prior to Go-Live. Drives programs and projects as a risk & compliance subject matter expert, applying industry best practices to ensure successful delivery and stakeholder adoption from a risk & control perspective. Partners with business and technology stakeholders, and collaborates with cross-functional leads across Finance, Engineering, and support organizations to assess impacts to Finance processes, controls, and reporting, and influence control design and implementation throughout the project lifecycle. Serves as a trusted advisor to proactively address stakeholder needs. Anticipates emerging risks and regulations in the marketplace/industry, and evaluates risks, controls, and compliance considerations through deep-dive assessments, informing stakeholders and developing recommendations to mitigate risks and strengthen processes. Ensures compliance requirements are incorporated into system capabilities and process design, supporting adherence to SOX and broader regulatory expectations. Prepares executive-level presentations and communicates updates on SOX, compliance readiness efforts, and quality programs. Develops reporting and insights for leadership. Standardizes compliance activities and drives alignment across Finance by identifying, analyzing, and managing strategic risks, and partnering with stakeholders to share best practices and insights. Provides thought leadership and drives FRC initiatives, including quality assessments, issue monitoring & analysis, control optimization, control strategy & advisory support, digital enablement & innovation, and special projects. Develops and enhances quality assessment frameworks/programs for third-party service providers, leading the execution of assessments, reporting, root cause analysis, and remediation. Drives adoption and implementation of technology that automates and strengthens internal processes and controls. Identifies opportunities and risks related to emerging technologies, including AI, and develops recommendations and business cases. Supports the development and delivery of risk & compliance learning initiatives to enhance stakeholder awareness and promote consistent, effective practices across Finance. Executes day-to-day management of service providers, reviewing outputs, resolving issues, and escalating as needed. Qualifications Basic Qualifications: 7+ years of experience in accounting, audit, risk, compliance, advisory, finance systems, or related experience OR Bachelor's Degree in Accounting, Business, Finance, or related field AND 4+ years of experience in financial governance, risk, compliance, auditing, accounting, or related experience. 4+ years of experience designing, implementing, testing, and/or evaluating internal controls. 4+ years of experience designing and performing risk, system, SOX readiness, and/or process assessments. 3+ years of experience in project and/or program management. Preferred Qualifications: 3+ years of experience in audit/advisory at a global professional services firm. Certified Public Accountant (CPA), Chartered Accountant (CA), Certified Information Systems Auditor (CISA), Certified Internal Auditor (CIA), or equivalent license or certification. Experience working in a global and matrixed organization in the technology/SAAS industry. In-depth knowledge of system risks, IT application controls, business process controls, and IT general controls. Familiarity with the COSO framework and has a strong understanding of risk management, controls, and compliance concepts. Possesses strong business process acumen, including familiarity with Quote-to-Cash (QTC), Procure-to-Pay (PTP), Record-to-Report (RTR), Hire-to-Retire (HTR), and Sales Compensation processes, how systems support these processes, and the related risks that impact financial reporting. Familiarity with technology regulations (e.g., GDPR, Digital Markets Act, Digital Services Act), AI governance in Internal Control over Financial Reporting (ICFR), and experience operationalizing technology compliance is a plus. Experience working with or basic knowledge of Oracle Financials (either legacy E-Business Suite/EBS or Oracle Fusion Cloud) & Database, Salesforce, Microsoft Dynamics, Coupa, Zuora, AI, and homegrown systems. Ability to learn new applications quickly. Strong leadership and project management skills, with the ability to operate effectively in a cross-functional, fast-paced environment and drive complex compliance, controls, and transformation initiatives. Knowledge of project and change management best practices and a continuous improvement mindset to optimize project processes and outcomes. Self-starter with strong business judgment and the ability to communicate effectively with business partners and senior leadership. Well organized with demonstrated ability to manage and prioritize tasks against multiple deadlines with minimal supervision. Versatile, collaborative, and driven team player with strong communication, interpersonal, teamwork, and organizational skills. Able to present technical information to non-technical audiences and stakeholders. Suggested Skills: Internal controls Risk assessment Compliance management Knowledge of financial reporting processes across business & systems Financial systems LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $116,000 to $190,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. 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However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Finance
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