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Develop and test software components, generate technical documentation, and ensure quality control in an Agile environment. | 14 years software engineering experience, bachelor's degree or equivalent, experience with Git, Java/C++/Python, relational databases, AWS, Jira, and Confluence. | **Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. Telework: Up to 16 hours per week (however telework hours will depend on tasking for the sprint) Basic Requirements: • 14 years of experience as a software engineer • Bachelor's degree in a technical discipline • 4 additional years of experience as a software engineer may be substituted for a degree Job Description: • Experience supporting development and execution of test procedures for software components • Experience generating technical documentation • Experience working in an Agile development environment • Experience with Amazon Web Services • Experience using tools such as Jira and Confluence • Experience ensuring quality control of developed and modified software Required Experience: • Git • Java, C++, or Python • Relational databases (e.g., PostgreSQL) • SQL Salary: $200,000 - $210,000 annually Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. This is a full time position

Lead global market expansion and go-to-market strategies for new product launches to drive growth. | 7+ years in strategic/product marketing with proven international product launch and cross-functional leadership experience. | We're looking for a Product Marketing Manager to drive successful market entry and accelerate growth across global markets for our wearables portfolio. You will own the end-to-end go-to-market strategy for new market launches and in-market growth, from identifying the right markets to enter, to developing launch playbooks, to scaling what works. You'll serve as the central strategic lead for global expansion, partnering across product, regional marketing, sales, channel, ops, legal, and policy to turn ambitious goals into measurable results. The ideal candidate brings a combination of strategic vision, data-driven decision-making, proven cross-functional leadership, and hands-on product launch experience. You thrive in fast-moving, ambiguous environments — comfortable making strategic calls without perfect data, iterating quickly, and influencing without authority. Product Marketing Manager, Growth & Market Expansion Responsibilities: • Market Expansion Strategy: Define and own the market expansion roadmap, including market prioritization frameworks, investment levels, and sequencing for new market entries across EMEA, APAC, and LATAM • Go-to-Market Execution: Own and operationalize clear GTM strategies for new market launches, bringing a strong point of view to strategic decisions and trade-offs (product readiness, channel strategy, pricing, positioning, and compliance) • Insights & Research: Partner with research, market intelligence, and data science teams to gather market, category, channel, and audience insights that inform launch tactics and in-market growth strategies • Cross-Functional Leadership: Drive momentum across 12+ global teams — including regional marketing, product, ops, sales, legal, policy, and channel partners — to ensure all elements of GTM are aligned and ready ahead of launch • In-market Growth: Post-launch, drive business goals across acquisition, engagement, retention, and advocacy • optimize marketing effectiveness and identify levers for sustained growth • Performance & Prioritization: Define success metrics, roadmaps, and prioritization across a range of business initiatives • use data to identify bottlenecks, test new approaches, and double down on what works • Executive Communication: Provide visibility and strategic insights to stakeholders at all levels, informing leadership decisions on international investment and portfolio strategy Minimum Qualifications: • 7+ years of experience in strategic marketing, product marketing, product management, or management consulting within technology, consumer electronics, or internet/software industries • Track record of launching products in international markets, including navigating regulatory, cultural, and channel complexities • Experience using customer research, data, and market insights to inform product positioning, go-to-market strategy, and business decisions • Demonstrated ability to lead cross-functional initiatives in fast-paced, rapidly changing environments with multiple stakeholders • Strong executive communication skills, comfortable presenting to and influencing leadership • Experience delivering product launch results with internal and external partners across product, sales, marketing, comms, partnerships, legal, and policy Preferred Qualifications: • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) • Product marketing experience launching consumer hardware, software, or connected devices in international markets • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies • B.A./B.S. degree in marketing, business, or a related field • an MBA is a plus • Domain knowledge in AR/VR, wearable devices, smart glasses, mobile devices, and/or hardware/software platforms • Ability to make strategic decisions in ambiguous, data-sparse environments and to iterate rapidly • Experience with both 0-to-1 market entries and scaling established products in existing markets • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. $130,000/year to $188,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Lead design and evolution of centralized cross-business systems with hands-on coding and strategic architectural decisions. | 10+ years software engineering with expert Java skills, 5+ years technical leadership, cloud and DevOps expertise, strong systems design, and excellent communication. | Role Summary We are seeking a highly experienced, hands-on Senior Principal Engineer to lead the design and evolution of centralized, cross-business systems that will support shared workflows across two previously independent product lines. This role requires deep technical expertise in modern software development, cloud infrastructure, and DevOps practices, combined with strong systems-thinking and an ability to balance business, product, and technical tradeoffs. You will evaluate existing systems from both legacy organizations, understand current and future business requirements, and define a unified architecture strategy. You'll also influence decisions on whether to extend existing platforms, consolidate systems, or build net-new capabilities including clear recommendations on buy vs. build. This is both a strategic and hands-on role. You will be actively coding approximately 50% of your time at an expert level. You'll partner with engineering teams while you are coding, designing, prototyping, diagramming, and diving into infrastructure when needed. This position will be part of a core engineering leadership team, reporting to the Head of Engineering. Key Responsibilities Architecture & Systems Design • Lead the design of shared, centralized systems that support workflows across lines of business • Perform deep technical evaluations of existing systems, codebases, infrastructure, and integration touchpoints • Create system diagrams, reference architectures, API contracts, and migration approaches • Define architectural guardrails, patterns, and best practices for building scalable, reliable, secure platforms • Author technical specifications and migration plans that prioritize system reliability and data integrity Cross-Organization Technology Strategy • Develop a unified systems architecture strategy across the two merged organizations • Facilitate technical decision-making around duplicate systems, consolidation opportunities, or legacy modernization • Partner with product, engineering, and business stakeholders to define future-state platform needs • Establish engineering standards for scalability, availability, performance, security and observability Hands-On Technical Leadership • Build prototypes, POCs, and reference implementations to validate architectural approaches • Dive into code to identify bottlenecks, refactor critical paths, and guide the team through complex integrations • Understand and influence decisions around cloud native infrastructure, deployment pipelines and data Buy vs. Build Evaluation • Evaluate platforms and services, including cost, integration complexity, extensibility, risk and long-term operational impact • Make clear, data-informed recommendations on when to build internally vs. purchase and integrate commercial platforms Collaboration & Influence • Influence engineering leaders and teams through clarity, documentation, and strong architectural rationale • Present architectural recommendations to senior leadership, including tradeoffs, with a focus on business impact and long-term viability • You have already mastered the art of situational leadership, and are successful working with peers and executive audiences Required Qualifications Technical • 10+ years of hands-on software engineering experience building distributed systems or large-scale SaaS products. Expert Java skills a must • 5+ years in a Technical Leadership role (Principal, Staff or Architect) driving design decisions for teams • Strong systems design expertise: event-driven architecture, microservices, domain-driven design, integration patterns • Expert in at least one major cloud platform (AWS or GCP) and cloud-native architecture with 3+ years experience writing infrastructure as code, preferably Terraform • Deep knowledge of DevOps practices: CI/CD pipelines, observability, automation, and reliability engineering • Strong understanding of APIs, pub-sub & queuing, containerization (Docker/Kubernetes), and data platforms • Security-first mindset with experience embedding security into architecture decisions, including secure design patterns, threat modeling, identity and access management, data protection, and compliance considerations under the guidance of the Information Security organization • You are experienced with and fully embrace AI assisted engineering and have a vision of when, how and where to use it Analytical & Strategic Skills • Experience evaluating complex legacy systems and proposing modernization or consolidation strategies • Strong capability to evaluate third-party vendors, platforms, and tooling • Excellent ability to balance long-term architecture direction with short-term business needs Soft Skills • Excellent communication, documentation, and stakeholder management chops • Ability to work across multiple engineering teams with situational awareness, empathy and influence • Proven track record guiding organizations through technical change and transformation Nice To Have Experience • Experience in post-merger/acquisition technical consolidation or unifying previously independent tech stacks • Background in designing shared services, internal platforms, or multi-tenant systems • Familiarity with compliance-heavy environments (healthcare, finance, etc.) • Experience with workflow orchestration systems or business process platforms Salary Range: $200,000 - $240,000 annual

Design and operationalize supply chain analytical models using Kinaxis and SAP to optimize inventory and supply planning. | 7+ years in supply chain analytics with Kinaxis and SAP expertise, strong analytical skills, and relevant degree. | Job Title: Supply Chain Analytics Subject Matter Expert (Kinaxis & SAP) Location: Remote / Hybrid Employment Type: Contract / Full-Time Position Summary We are seeking a Supply Chain Analytics Subject Matter Expert (SME) to drive data-driven decision-making and solve complex business challenges across our end-to-end planning ecosystem. In this role, you will combine deep functional supply chain expertise with advanced analytical capabilities, partnering directly with planning and operations teams to optimize inventory, streamline demand and supply balancing, and execute allocation strategies. You will serve as the bridge between business processes and technical architectures, leveraging Kinaxis RapidResponse and SAP to design, build, and operationalize advanced analytics models. Key Responsibilities • Advanced Supply Chain Analytics: Design, develop, and operationalize analytical models to solve critical operational bottlenecks across Inventory Management, Demand & Supply Planning, Allocation, and Network Optimization. • Kinaxis RapidResponse Solutioning: Author and maintain custom Kinaxis workbooks, control tables, metrics, and alerts; build simulation and what-if scenarios to balance constrained supply, mitigate disruptions, and evaluate trade-offs in real time. • SAP Integration & Master Data Alignment: Audit and align supply chain master data (BOMs, lead times, lot sizes, procurement schedules) across SAP (ECC/S4HANA, IBP, or APO) and Kinaxis to guarantee data integrity across all planning cycles. • Inventory & Safety Stock Optimization: Establish dynamic multi-echelon safety stock strategies, lead-time variability models, and replenishment thresholds to reduce working capital while protecting customer service level agreements (SLAs). • Constrained Allocation Strategies: Formulate rules-based allocation frameworks and pegging logic to dynamically prioritize demand fulfillment across strategic accounts, regional channels, and high-margin product lines during supply shortages. • Cross-Functional Stakeholder Partnership: Translate complex analytical findings and simulation outputs into actionable executive insights, guiding Sales & Operations Planning (S&OP) and Integrated Business Planning (IBP) cycles. Qualifications & Experience Required: • 7+ years of progressive experience in Supply Chain Analytics, Demand & Supply Planning, or Network Optimization roles. • Proven functional and analytical expertise utilizing Kinaxis RapidResponse (authoring, workbook design, scenario modeling, supply-demand balancing). • Practical experience working with SAP planning environments (SAP IBP, SAP APO, or core SAP S/4HANA / ECC Materials Management and Production Planning). • Strong analytical toolkit: proficiency in SQL, Python, or R for data extraction, manipulation, and statistical modeling. • Demonstrated track record optimizing multi-echelon safety stock, reducing inventory carrying costs, and managing supply allocation logic. • Bachelor’s or Master’s degree in Supply Chain Management, Operations Research, Industrial Engineering, Data Analytics, or a related discipline. Preferred: • Kinaxis Certified RapidResponse Author, Contributor, or Administrator. • Hands-on experience developing business intelligence dashboards in Power BI or Tableau for executive supply chain reporting. • Deep domain experience within manufacturing, consumer goods, life sciences, or high-tech electronics supply chains.

Collect, clean, analyze data and build reports to support business decisions. | Bachelor's degree with coursework in analytics, 0-2 years experience, Excel proficiency, and strong analytical and communication skills. | At SimPL Freight Solutions, we simplify transportation for companies that move a lot of freight but don’t want the headache of managing it all themselves. We step in as their transportation team - coordinating shipments, managing carrier relationships, tracking performance, and improving how everything runs behind the scenes. Our customers range from large manufacturers to high-volume distributors across industries like automotive, building materials, food, and packaging. No matter the industry, the goal is the same: keep freight moving smoothly, efficiently, and without surprises. We pride ourselves on being proactive, responsive, and accountable - anticipating issues, communicating clearly, and continuously finding better ways to deliver results. Position Overview Are you naturally curious, comfortable working with numbers, and always asking why? SimPL Freight Solutions is looking for a Junior Data Analyst who is excited to turn data into meaningful business insights. This is an early-career opportunity designed for a recent graduate or someone beginning their analytics career. You will join a growing analytics department within a fast-growing logistics company, where your work will support real decisions involving clients, pricing, operations, and company strategy. You will not be expected to know everything on day one. We are looking for someone with strong analytical foundations, attention to detail, and the drive to learn. You will receive guidance from experienced team members while gradually taking ownership of dashboards, reports, models, and improvement projects. What You'll Do • Collect, clean, and validate client, prospect, pricing, and operational data • Build and maintain dashboards, reports, and visualizations using Excel, Power BI, Salesforce, and other tools • Analyze freight patterns, pricing, service performance, and business trends • Turn complex data into clear insights and recommendations for both technical and non-technical audiences • Support pricing projects, client strategy reviews, sales presentations, and operational decisions • Partner with operations, sales, pricing, technology, and leadership on cross-functional projects • Identify data quality issues and help improve the accuracy and consistency of information across systems • Document and improve recurring reporting and analytical processes • Explore opportunities to automate workflows and use approved AI tools more effectively • Present findings and explain how they may affect clients or the business What You'll Have The Opportunity To Learn • How analytics supports pricing, transportation, customer service, and business strategy • How to work with large, real-world datasets that may not always be perfectly organized • How to design dashboards and reports that business leaders actually use • How to translate a business question into a structured analysis • How to communicate findings to clients, managers, and company leadership • How to take an analytics project from an initial question through a final recommendation • How a growing analytics department develops its tools, processes, and standards Required Qualifications • Bachelor’s degree in Data Analytics, Business Analytics, Supply Chain Management, Statistics, Mathematics, or a related quantitative field • 0-2 years of relevant experience; internships, co-ops, academic projects, and related coursework are welcome • Coursework or project experience involving data cleaning, analysis, visualization, or reporting Knowledge, Skills, & Abilities • Working knowledge of Microsoft Excel, including formulas, lookups, pivot tables, and charts • Exposure to Power BI or another data visualization tool preferred; Salesforce experience is a plus • Exposure to SQL, data modeling, or database concepts through coursework or practical experience preferred • Strong attention to detail, organization, and problem-solving skills • Foundational data analysis and critical-thinking skills, with a willingness to learn • Strong verbal and written communication skills • Ability to explain findings clearly to both technical and non-technical audiences • Collaborative, dependable, and comfortable working in a fast-paced environment with changing priorities We Offer • A competitive salary + bonus opportunities • Career growth, development, and advancement opportunities • Excellent benefits including: • Medical, Dental and Vision Insurances • Life and Disability Insurances • Company 401K plan with a company match • 15 PTO days and 9 paid holidays Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of employment visas at this time. SimPL Freight Solutions is an equal opportunity employer and is committed to creating an inclusive environment, welcoming and valuing our differences. Employment is based on individual merit and qualifications directly related to professional competence, without regard to race, color, religion, national origin, sex, age, sexual orientation, veteran status or any other characteristic protected by law. We value a diverse workforce that encompasses a wide range of perspectives, skills, and abilities.

Design, develop, and operate routing backend services with a focus on complex routing scenarios and high availability. | 5+ years backend service experience, 3+ years Rust/Go engineering, AWS cloud infrastructure knowledge, and distributed systems understanding. | Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do The Navigation team develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics. This is a highly multidisciplinary team, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Read about Mapbox Navigation here What You'll Do As an Engineer, you will be responsible for designing, developing and operating significant areas of our routing services. In this role, you can expect to: • Solve complex routing scenarios that don’t have good solutions today • Develop best-in-class routing experiences that make routing enjoyable, not robotic • Provide highly customizable routing solutions for large OEMs as well as very niche customers with unique use cases • Build the tools others will use to unlock incredible mapping and navigation solutions never seen before • Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe Are Important Traits For This Role • 5+ years of experience building large scale/high volume low latency backend services • 3+ years of experience engineering Rust/Go based solutions in a commercial or open source environment • AWS cloud infrastructure (EC2, S3, RDS, Lambda, VPC, IAM) using infrastructure-as-code and CI/CD pipelines. • Knowledge of operating systems and distributed systems (e.g., fault-tolerance, consistency, service discovery, etc.) • Experience with modern AI development tools and practices Nice to Have Traits for This Role • Experience with modern C++ • Geospatial or Navigation related experience What We Value In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders: • We value high-performing creative individuals who dig into problems and opportunities. • We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How We Support You • Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. • Comprehensive Healthcare: Private medical coverage for you and your dependents. • Family-First Support: Generous maternity and paternity leave policies to support your growing family. • Fertility & Family Building: Inclusive fertility support. Grow your family on your terms. • Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. • Balance & Brainpower: Mental health support for you and your dependents. • Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. • Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. • Invest & Grow: Retirement plans with competitive matching. Our annual base compensation for this role ranges from $160,650 - $217,350 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information. By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy which is linked here. Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation and Right to Work posters for more information. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Design and build enterprise-grade AI-enabled full-stack applications integrating data pipelines, ML models, and user-facing features. | 8+ years experience in full-stack software development with strong API skills, AI coding tool usage, and ability to work in agile cross-functional teams. | Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders. Living Our Values All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live. Why Join Us • Career Growth: Advance your career with opportunities for leadership and personal development. • Culture of Excellence: Be part of a supportive team that values your input and encourages innovation. • Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs. Total Rewards Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page. A Day In The Life As a Full-Stack AI Engineer you will design and build enterprise-grade applications that operationalize analytical models, machine learning models, Gen AI solutions from ingestion pipelines and backend APIs to front-end applications and AI-powered features. You are the primary builder on cross-functional project pods that include product owners, enterprise data engineers, and data scientists. This role sits at the intersection of data engineering, software engineering, AI engineering, and AI scientist, and is the foundational capability that enables the team's operating model, requiring strong full-stack development skills and the ability to integrate with data pipelines, ML models (via API), and data serving on Databricks. You leverage AI coding tools (Claude Code, Codex, Augment Code, etc.) to accelerate delivery and maintain a high pace of iteration without sacrificing quality. As a Full Stack AI Engineer You Will • System Design & Architecture • Design end-to-end solutions spanning frontend, backend, and data layers. • Define patterns for scalable AI-enabled applications. • Contribute to architecture decisions and participate in technical reviews across the data and AI ecosystem. • End-to-End Application • Translate analytical outputs and model results into user experiences that business stakeholders can act on directly. Apply strong product thinking to front-end design and usability. • Design and build user-facing applications (web apps, APIs, workflows) that enable interaction with data science and AI models. • Build intuitive dashboards, data applications, and self-serve analytics tools using modern front-end frameworks. • Develop full-stack solutions using technologies such as React, Angular, and Python-based backends (Django, FastAPI, Flask etc.) • Ensure solutions are scalable, secure, and enterprise ready. • Data Pipeline & Integration • Build and maintain data ingestion pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform. • Build RAG pipelines, data pipeline to sync Agent memory systems • Connect applications to data sources, feature stores, workflows and ML model endpoints. • Ensure data quality, reliability, and performance across the pipeline. • AI & LLM Feature Development Integrate agentic workflow, RAG pipelines, and AI agent into production applications. • Build and deploy AI-powered features including semantic search, document understanding, conversational interfaces, and automated workflows. • Evaluate and select appropriate AI tools and APIs for each use case. • AI-Assisted Engineering • Actively leverage AI coding tools (Claude Code, Codex, Augment Code) as a core part of the development workflow. • Stay current on AI tooling advancements and share best practices across the team. • Maintain high code quality standards when using AI-generated code. • DevOps & Engineering Quality • Implement CI/CD pipelines, automated testing, and observability for all production systems. • Contribute to formulate software engineering best practices including code review, documentation, testing, and security standards. • Ensure observability, monitoring, and reliability of applications. What We Need From You • Bachelor's Degree Computer Science, Software Engineering, Information Systems, or a related technical field • 8+ years of experience building production-grade software applications Required • Strong full-stack development experience (frontend + backend) Required • Experience building RESTful APIs and backend services Required • Experience with data-intensive applications or data platform integrations Required • Experience actively using AI coding tools (Claude Code, Codex, Augment Code) as part of day-to-day development Required • Experience with front-end frameworks such as React, Angular, or Next Required • Experience working in agile/scrum delivery models with cross-functional teams Preferred • Experience integrating LLMs, RAG pipelines, or AI APIs into production applications Preferred • Experience with Databricks, or Lakehouse architectures Preferred • Experience working with cloud-native web application development and deployment (AWS, Azure) Preferred • Experience with CI/CD, infrastructure-as-code, or cloud-native deployments (AWS preferred) Preferred • End-to-end ownership mindset takes accountability for the full lifecycle of a product from pipeline to UI, not just assigned components. • AI-native engineering fluency: actively and effectively uses AI coding tools as a multiplier, not just a convenience. • Product thinking: focuses on building usable, valuable solutions that solve real business problems. • Strong collaboration and communication skills across product, data science, and business stakeholder teams. • Ability to operate across multiple layers of the stack without deep specialization in any single area. • Ability to work effectively in ambiguous, fast-moving environments with evolving requirements. • Intellectually curious with a strong drive to stay current on AI tooling, frameworks, and best practices. • Strong engineering discipline: code quality, testing, documentation, and security awareness even at high delivery velocity. Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds. Travel Requirements 20%-30%: The position is open to in-office and remote work in Houston or Austin. If remote (>50 miles from office) it is expected that the associate will be in office at least 4 days a month. This may vary based upon project meetings and events. Join Us The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates. We are seeking candidates legally authorized to work in the United States, without Sponsorship.

Develop and maintain software systems with strong collaboration and mentorship. | Senior software developer with expertise in API and system design, strong communication, and mentorship skills. | About the Role • Foremost a software engineer. You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role.• You are experienced in creating automated testing, applying design patterns, and other engineering best practices. • You are an expert in Python and possess fluency in SQL and have developed maintainable data pipelines with each. • Hands-on with architecting solutions. You have designed several data pipelines from start to finish. Choosing appropriate technologies, building, testing and rollout. • Experience with aychronous systems. You are comfortable identifying and applying APIs, streaming, multithreading, and other asynchronous approaches to the right problems. You understand how to monitor and maintain these systems. • Product mindset. You think about the business impact of your work, and can use high-level goals to prioritize work. • Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply. • ML/AI-aware. You have working knowledge of how ML/AI applications are deployed and monitored, and you're motivated to use this awareness to advance data-driven initiatives. Location: This role is remote in the United States, Canada, or some countries in South America. Here's How You Will Make an Impact • Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights. • Understand product requirements and translate them into actionable project plans that you or your peers execute upon. • Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. • Collaborate with your team's Data Leadership to identify and push forward meaningful projects across the commercial org. About Us • Explore our stack • We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projects • We have worked as a distributed team for a long time; we're currently about 65% distributed • Find out more information on the Doximity engineering blog • Our company core values • Our recruiting process • Our product development cycle • Our on-boarding & mentorship process Compensation The anticipated total compensation for this role is $165,000 - $221,000, depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include: • Base salary • Equity (where applicable) • Annual bonus or incentive compensation (where applicable) Specific compensation details will be discussed during the interview process. Benefits In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include: • Medical, dental, and vision insurance • 401(k) with company match • Flexible paid time off and company holidays • Paid parental leave • Professional development and learning opportunities • Wellness and mental health resources • Remote work support and home office stipend (where applicable)

Lead product marketing strategy and go-to-market execution for Pinterest's ads delivery and measurement products. | 5+ years product marketing experience in ads or related fields with strong analytical, communication, and cross-functional collaboration skills. | About Pinterest Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We’re looking for a Senior Ads Product Marketing Manager to shape the future of performance bidding, optimization, and measurement at Pinterest. You’ll own the go-to-market strategy for new solutions that help advertisers align campaign delivery with the business outcomes they value most. In this role, you’ll translate complex advertiser measurement needs into clear product strategy, positioning, and scalable go-to-market motions. You’ll partner closely with Product, Engineering, Data Science, Measurement, Sales, Performance Solutions, and Product Operations to bring new lower-funnel solutions from early testing through broader adoption. Your work will help advertisers optimize toward the outcomes that matter in their own measurement source of truth—and build greater confidence in Pinterest as a performance channel. What You’ll Do • Own product marketing strategy and go-to-market execution for Pinterest’s measurement-aligned bidding and optimization portfolio, including MPO, Last Click Mode/optimization windows, and future custom conversion solutions. • Build a deep understanding of advertiser measurement approaches, attribution models, lower-funnel objectives, and performance needs to identify high-value market opportunities and influence product strategy. • Define target segments, customer problems, value propositions, positioning, messaging, and proof points for early-stage and scaled bidding products. • Lead commercialization for alpha and beta programs: shape learning agendas, define advertiser eligibility and recruitment strategies, develop onboarding and enablement materials, and turn findings into product and GTM recommendations. • Partner with Product, Engineering, Data Science, and Measurement teams to translate market insights into product requirements, prioritize investments, and navigate technical and commercial tradeoffs. • Serve as the voice of advertisers and Sales to Product, and the voice of Product to Sales—synthesizing customer feedback, competitive intelligence, product data, and opportunity sizing into decision-ready recommendations. • Develop clear narratives, sales enablement, training, and customer-facing materials that make complex bidding, optimization, and measurement concepts accessible and actionable. • Establish success metrics across adoption, advertiser performance, sentiment, revenue impact, and operational readiness; use results to refine product strategy and determine the path from alpha to beta to broader scale. • Drive cross-functional alignment across Sales, Performance Solutions, Measurement Solutions, Product Operations, Business Marketing, Legal, and other partners to deliver cohesive, scalable product launches. • Use AI tools thoughtfully to accelerate market research, customer-feedback synthesis, and analysis, while applying sound judgment, validating outputs, and maintaining ownership of final recommendations. What We’re Looking For • 5+ years of product marketing, ads marketing, or related experience, ideally in performance advertising, ad delivery, bidding, measurement, attribution, or marketing technology. • Bachelor’s degree in Marketing, Business, Communications, or a related field, or equivalent experience. • Experience developing and executing product go-to-market strategies, including positioning, messaging, segmentation, enablement, launch planning, and adoption measurement. • Experience bringing early-stage products or features through alpha, beta, and broader commercialization; comfort operating when product-market fit, product scope, and operating models are still evolving. • Strong understanding of lower-funnel advertising, conversion optimization, CPA/ROAS, attribution, and first- and third-party measurement approaches. • Technical fluency to understand and communicate how conversion signals, data integrations, attribution windows, optimization models, and bidding strategies affect advertiser outcomes. • Strong analytical judgment and experience using qualitative and quantitative data to define customer needs, size opportunities, evaluate test outcomes, and make strategic recommendations. • Proven ability to influence and build trusted partnerships across Product, Engineering, Data Science, Sales, Solutions, Operations, and executive stakeholders. • Exceptional written and verbal communication skills, with the ability to turn complex technical concepts into clear, compelling narratives for internal and external audiences. • Demonstrated ability to use AI tools to improve research, analysis, or workflow efficiency while validating accuracy, protecting sensitive information, and retaining ownership of final work. Relocation Statement: • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. • This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore must be within a commutable distance from a Pinterest office. San Francisco, CA; Los Angeles, CA; New York, NY; Chicago, IL; Seattle, WA. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $123,684—$254,644 USD Our Commitment To Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Lead design and deployment of large-scale GPU infrastructure for public sector customers, collaborating across teams and managing customer lifecycle. | Requires 6+ years in solution engineering with expertise in GPU infrastructure, high-performance networking, schedulers, benchmarking tools, and customer-facing skills. | NVIDIA is looking for a Senior AI Infrastructure Solutions Architect to join its Public Sector Continuous Bring Up team This person will be passionate about crafting an entire market and serving Public Sector customers during the AI transformation. The ideal candidate will have a strong technical background in accelerated computing technology and artificial intelligence. They will apply these skills to support government programs within the Public Sector market. They will collaborate closely with product, engineering, and customers to accelerate NVIDIA technology in the design to deployment of large-scale GPU infrastructure. A successful candidate will demonstrate skill in transcending boundaries, working effectively with product teams, account managers, field organization, and customers to drive success. You must be a U.S. Citizen to apply for this position. What You’ll Be Doing • Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. • Become the primary technical driver for customers during the build, deployment, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle. • Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions. • Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA. • Analyze and debug compute/network configuration and performance issues to deliver performant clusters. • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications. • Lead communication with customers and NVIDIA Management. • Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools. What We Need To See The position requires solving complex multidisciplinary problems. Responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions with the customer. • BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience. • 6+ years supporting Solution Engineering (or similar Sales Engineering, Solution Architecture) including experience working directly with partners and customers. • Experience with high performance Networking or CPU/GPU application acceleration. • Background with schedulers such as SLURM, LSF, UGE, etc. • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. • An ability to travel to customer sites up to 20% of the time. Ways To Stand Out From The Crowd • Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager. Experience building and/or integration artificial intelligence solutions. • Experience with bring up and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance. • Experience with MPI (Message Passing Interface). • Experience working with enterprise developers and strong customer-facing skills. • Active Security Clearance is highly desirable. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 15, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2025235