LinkedIn

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. 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: Finance

Lead technical strategy and design for large-scale distributed systems and mentor engineers. | Bachelor's degree and 4+ years experience in software design and distributed systems required. | 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, 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 own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. You will effectively communicate with the team, partners and stakeholders. You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team. You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg, Apache Airflow, Apache Flink). You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale. You will diagnose technical problems, debug in production environments, and automate routine tasks. Qualifications Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 4+ years of industry experience in software design, development, and algorithm related solutions. 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs. 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 in architecting, building, and running large-scale distributed systems. Experience with industry, open source, and/or academic research in technologies such as GCP, S3, Azure, Iceberg, Spark, Flink, Trino, Airflow, Kubernetes, GraphQL, GRPC, Kafka, Pinot, ClickHouse, or Cassandra. Experience with open-source project management and governance. Suggested Skills: Distributed systems Backend Systems Infrastructure Java/Golang/Rust/Python 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 $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. 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 and optimize large-scale distributed systems and data infrastructure for AI-first products. | Requires degree and 2+ years in software design, object-oriented programming, and experience with distributed systems or backend APIs. | 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 Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. You will effectively communicate with the team, partners and stakeholders. You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg, Apache Airflow, Apache Flink) You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale. You will diagnose technical problems, debug in production environments, and automate routine tasks. Qualifications Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 2+ years of industry experience in software design, development, and algorithm related solutions. 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs. 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 architecting, building, and running 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. Experience with open-source project management and governance. Suggested Skills: Data Structures & Algorithms Distributed Systems Operating Systems Cloud Computing 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 $144,000 - $236,000. 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

Manage a team of Account Directors to execute sales strategies and grow corporate relationships using Talent and Learning solutions. | Requires 7+ years sales experience and 5+ years people leadership in technology, human capital, or consulting, plus a bachelor's degree. | 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 Detroit. 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 looking for a Manager for our Account Director team. In this role, you will be responsible for building and managing a team of AD’s who partner with existing customers to deliver success using our Talent and Learning solutions. In addition, the Manager will be responsible for developing and executing the sales strategy across market. You will also focus on retaining and growing LinkedIn’s valuable corporate relationships. Responsibilities Include: Effective communication through 1:1s, performance reviews, coaching, and manager updates Communicate goals and bring a focus on the most important activities. Inspire customers to close Manage headcount, forecast, lead meetings, align the team to organizational vision and values. Foster a positive and values-driven team culture that will motivate others Create a shared vision for the function Identify team challenges and lead training and education to improve rep effectiveness Be the trusted partner and advisor to leadership and provide them with competitive and industry intelligence to inform product and business strategies Be an effective coach to team members Qualifications Basic Requirements: 7+ years of sales experience Preferred Requirements: 5+ years of people leadership experience Sales and Sales Management experience preferably in a Technology / Human Capital / Consulting Experience leading high performing sales teams Ability to influence decision makers at all levels Proven leadership skills, self-starter with hands-on approach Capability in forming enduring relationships across the organization and geographies Well-connected in their industry with the potential to also do so in the HR community Integrity-driven, collaborative team player Must be results driven and detail oriented with a growth mindset Bachelors' in Marketing, Business, or other related field. Suggested Skills: Relationship-building Ability to coach and mentor Communication: Active Listening, Written & Verbal Decisiveness: Problem Solving & Expectation Setting LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $230,000 to $350,000. 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: MR3/SA10 Department: GBO

Lead internal communications for Global Talent Organization focusing on Performance Management and Total Rewards, advising senior leaders to drive engagement. | Bachelor's degree with 9+ years in Communications and 3+ years in Employee Communications, preferably supporting senior executives and HR communications. | 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 DescriptionThis role will be based in San Francisco, Mountain View, Sunnyvale, New York, or ChicagoAt 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 have an exciting opportunity to join our Employee Communications team as a Senior Manager 2, focused on enterprise-wide internal communications that support recurring programs, new initiatives, and key workforce priorities. In this role, you’ll provide strategic communications counsel to our Performance Management and Compensation teams, shaping and executing communications that drive awareness, understanding, and engagement with LinkedIn’s Total Rewards programs This role will also lead and support other priority HR communications work, bringing opportunities to scale impact to teams across LinkedIn.We're looking for a dynamic communicator with a strong track record of partnering with senior leaders and stakeholders, deep business acumen, strong HR communications experience, and a passion for storytelling that brings people strategies to life and supports business growth. You thrive in a fast-paced environment, bring creativity to how we engage employees across a variety of channels, and lead the day-to-day execution of multiple projects. If you're energized by the opportunity to lead with influence, drive clarity, think strategically, and help employees feel informed about and connected to the programs that shape their careers, we'd love to meet you. Responsibilities  Communications Strategy and Execution Acts as a trusted thought partner to senior leaders across GTO and the enterprise, advising on the right channel, timing, and content of communications to employees.Leverages understanding of business needs and insights to recommend, develop, and socialize employee communications strategy and planning.  Implements tactics and collects and reviews results to ensure accuracy and quality across messages and channels.  Provides strategic communications counsel to the Performance Management and Compensation teams, shaping and executing the internal narratives that drive awareness, understanding, and engagement with LinkedIn’s Total Rewards programs.Leads and supports other priority communications work, including organizational change and issues management, bringing opportunities to scale impact to teams across LinkedIn. Stakeholder Engagement Owns stakeholder relationships with cross-functional teams to ensure alignment and consistency.  Incorporates best practices for decision-making criteria and principles at outset to drive priorities and expectations, while defining and clarifying scope.  Recognizes opportunities, makes decisions, challenges the status quo, and identifies alternatives that recognize stakeholders' diverse perspectives.  Writing and Storytelling Develops new stories/narratives and drafts content independently, while connecting and reinforcing strategic messaging.  Creatively uses different communication formats such as live events, videos, and emails to inform and inspire employees. Recommends what channels are most appropriate for the target audience and drive execution from start to finish.Delivers high-quality, creative communications that help drive business outcomes.    QualificationsBasic Qualifications 9+ years of experience in Communications, Marketing, Journalism, 3+ years of experience in Employee Communications or related experience. Bachelor's Degree in Business, Communications, Marketing, Journalism, or related field AND minimum 6 years of experience in Communications, Marketing, Journalism, 3+ years of experience in Employee Communications, or related experience. Preferred Qualifications 6+ years of experience supporting senior executives. 6+ years of experience in employee communications roles. 2+ years of HR communications experience.3+ years working in a communications or marketing-focused role.Exceptional judgment and problem-solving skills, including the ability to operate with a high degree of discretion. Strong organizational skills, with the ability to manage multiple communication initiatives simultaneously, operate with ambiguity, and inspire collaboration at all levels of the organization. Suggested Skills Storytelling Strategy Problem Solving Influence Others Easily Adaptable Detail Orientation  LinkedIn is committed to fair and equitable compensation practices.   The pay range for this role is $148,000 to $233,000. 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 InformationEqual 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/b660a0327d044969abfd7a4e73d15c36Reasonable 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 youHaving interviews in an accessible locationBeing accompanied by a service dogHaving a sign language interpreter present for the interviewA 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: Marketing & Communications