Netflix

Design and build an ML data and feature platform, including scalable feature computation and centralized feature stores for high-throughput training and low-latency inference. | Requires 10+ years of experience building ML or data infrastructure and operating high-traffic, low-latency online applications, plus proficiency with large-scale data frameworks and cloud platforms. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. ML models can only be as good as the data we provide them. That's why we continue to innovate on making data and feature engineering as simple, scalable, and efficient as possible. Are you interested in joining us on this mission? You will have the opportunity to build cutting-edge data and feature infrastructure that will power ML models across various domains, including personalized recommendations, payments, games, ads, and more. The Opportunity In this role, you will have the opportunity to build a next-generation ML data and feature platform to significantly improve the productivity of ML practitioners. Our goal is to enable our ML practitioners to easily define and test ML features and labels, while our platform takes care of the computation, storage, and serving of feature values for both high-throughput training and low-latency member-scale inference use cases. You will also have the opportunity to build a centralized feature and embedding store to enable sharing across various ML domains. Unlocking access to these shared datasets will foster innovation through ML in new business areas that otherwise wouldn’t have been feasible. You will collaborate closely with ML practitioners and domain experts to ensure that our models are built with high-quality features and labels. You will also get to work with the broader AI Platform organization to deliver a cohesive end-user experience that significantly improves the productivity of ML practitioners. Here are some examples of the types of things you would work on: Design and build a near-real-time feature computation engine to generate ML features for both high-throughput training and low-latency inference applications. Operate and manage the feature computation pipelines and feature serving infrastructure for various ML models across multiple ML domains. Build and scale systems that accelerate training through performant data loading, transformation, and writing. Create frameworks to streamline and expedite the availability of new data for training and serving. Develop feature stores that enable feature discovery and sharing. Increase the productivity of ML practitioners by making it easy to define and access features and labels for experimentation and productization. Minimum Qualifications Experience in building ML or data infrastructure Strong empathy and passion for providing a fantastic user experience to ML practitioners Experience in building and operating 24/7 high-traffic and low-latency online applications Experience with large-scale data processing frameworks such as Spark, Flink, and Kafka Experience with data storage and serving technologies such as Iceberg and Cassandra Experience in working with and optimizing Java and/or Python codebases Experience with public clouds, especially AWS Self-driven and highly motivated team player Preferred Qualifications Experience in building and operating ML feature stores, such as Chronon Experience in building embedding-based retrieval systems Experience working with Notebooks such as Jupyter or Polynote Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $600,000.00 - $1,066,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

You would define product operations practices and rhythms, improve team systems and efficiency, and lead innovation programs across product, engineering, and partner teams. | The role requires 10+ years in product operations, program management, or business operations within a product-driven organization, with experience scaling processes and communicating across functions. | Our Team The Content Experience Innovation (CEI) product team is leading the strategy to shape how Netflix members discover and engage with new content types. This includes 0 to 1 areas such as Live events, Podcasts, Creator content, Games discovery and more. Our work spans all platforms (TV/living room, mobile, tablet, and web), and includes features and experiences across discovery/browse, player, profiles, and new surfaces. We sit at the intersection of Product, Tech, Content, and Production, and act as the connective tissue that keeps our product surface in step with our content strategy. This role sits on the Configurations team within Content Experience Innovation (CEI), connecting CEI with the broader business through configurable, high-velocity capabilities that scale globally and for every content type. We are looking for a Senior Product Operations Lead/Program Manager to join our team. The Role You’ll own the product operations backbone of the team including the ways of working, operating rhythms, portfolio visibility, and systems that make a fast-moving product organization more efficient and effective. You’ll also be responsible for aligning those operating rhythms to those of our partner teams across Product + Tech, working in lock step with the Prod Ops partners Member Experience and Commerce product orgs to ensure we all work together toward a cohesive end member experience. You’ll also flex into Program Management to drive critical innovation programs across the team to bring our product vision to life. What You Will Do... Strengthen how the team works by defining, documenting, and maintaining the ways of working and standards that keep product development running smoothly. Run the team's core operating cadences, including planning, OKRs, and QBRs while coordinating inputs, timelines, and deliverables, and turning them into clear, actionable and decision-ready readouts for leadership. Own portfolio-level operations: manage intake and prioritization, maintain the roadmap and launch calendar, and give the team and its partners a clear view of what's in flight, what's coming, and what's at risk. Drive stakeholder communication and alignment by keeping partners across Product, Engineering, and cross-functional teams informed of key dates, changes, and dependencies, and maintain a single, trusted source of truth for plans, decisions, and outcomes. Design and build scalable systems, workflows, and tooling that reduce manual effort and make the team faster, leveraging AI and automation where it creates efficiency. Identify operational opportunity areas across the product development lifecycle, and drive improvements that increase quality, efficiency, and productivity. Partner with New Content Exploration and various Product and Tech teams on initiatives within their innovation roadmaps. Lead complex programs that cut across product areas that transform the way we work, managing high degrees of change. Partner with senior leadership to shape the business vision and opportunity of transformation efforts. What You’ll Bring 10+ years of Product Operations, Product or Program Management, Business Operations, or related experience in a product-driven organization. A track record of designing and scaling operational processes, rhythms, and systems in fast-moving, ambiguous environments, with a high degree of autonomy. Fluency with operating cadences such as planning, OKRs, and QBRs, and the ability to turn messy inputs into clean, decision-ready outputs. Strong attention to detail, with the ability to connect the dots between projects and programs to ladder up to company and team goals Demonstrated ability to build tooling and workflows that create leverage, including practical use of AI and automation to improve efficiency. A sharp eye for operational opportunity areas across a product development lifecycle, and the judgment to prioritize the improvements that matter most. Strong cross-functional partnering skills across Product, Engineering, TPM, Design, and non-technical teams. Fluency with product/ops tooling (e.g., Jira, Airtable) and comfort adapting shared frameworks to what a team actually needs. Outstanding written and verbal communication, including clear updates for leadership. Content discovery, merchandising performance management, or recommendation systems domain experience preferred.

Build and operate scalable distributed data infrastructure across storage, analytics, datastores, compute, or data movement, while leading cross-functional initiatives. | Requires 2+ years building large-scale distributed systems, REST service proficiency, experience with scalable fault-tolerant systems, Java or another object-oriented language, multithreading, and a CS-related degree. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Data Platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment. We are looking for distributed systems engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team that will bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S. Spotlight on {5} Hiring Teams: Storage We focus on on providing storage and insights services to platforms, applications and users around the globe which are performant, secure and centrally managed; enabling platforms to move, store and efficiently archive data in the cloud. We offer a consistent mechanism to create & manage object/block/file resources, integrate Netflix ecosystem for access control and provide observability into the cost & lifecycle of these resources, by taking ownership of existing tools and shaping a more cohesive strategy. We manage storage at exabyte scale and enable Netflix to serve a huge amount of content around the globe. Analytics Platform & Experience - Engines We are responsible for providing the cloud-native platform for distributed data processing at Netflix. Central to analytics and data processing in Data Platform, we manage the the platform to get insights from the Exabytes-scale data in our data warehouse using Presto/TrinoDB and Snowflake. It also provides sub-second latency for real time analytics use cases as well as supports key insight dashboards using Druid. This platform enables new business initiatives such as ads and live. Online DataStores - Composite We offer managed datastores at scale to meet Netflix’s operational data requirements across all lines of business. These datastores include various domains: Caching, Relational, Search, Key-Value, and Composite. Our focus is on developing and maintaining high-performance, reliable, and efficient datastores. Additionally, we enhance developer productivity by providing secure, intuitive and opinionated access layers. This team is passionate about building innovative, efficient, performant and scalable offerings for our customers. Our team also engages with open source communities, actively contributing to and responsibly stewarding the development and use of open source software. Big Data Compute - Spark This team is central to batch data processing in Data Platform. It provides support for Spark to ETL data into the Exabytes-scale data warehouse and support large scale analytics on the data to provide insight to all the Netflix functions such as A/B testing, Recommendations, Machine Learning to name a few and enable new business initiatives such as ads and live. Storage & Movement Infrastructure Our mission is to enable Data Movement teams to swiftly create impactful data movement solutions by providing a unified operational and security infrastructure along with comprehensive support. Our goal is to identify common challenges and offer them as foundational primitives to be leveraged by these teams. Initial set of components within the team's charter: autoscaling for compute resources, common SLIs tracking, fault management for error classification, notification, remediation, and cost efficiency. ***** This would be your dream job if you enjoy: * Solving real business needs at large scale by applying your software engineering and analytical problem-solving skills. * Architecting and building a robust, scalable, and highly available distributed infrastructure. * Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams. * Sharing our experiences with the open source communities and contributing to Netflix OSS. About you: * You have 2+ years of experience in building large-scale distributed systems features or applications. * You are proficient in the design and development of RESTful web services. * Experienced in building and operating scalable, fault-tolerant, distributed systems * You are experienced in Java or other object-oriented programming languages. * Multi-threading is a challenge that you are comfortable tackling. * You have a BS in Computer Science or a related field. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $71,040.00 - $464,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Own orchestration services, CLI tools, and device fleets for large-scale TV platform test execution, while improving reliability and infrastructure strategy. | Requires 5–10 years of experience, strong JavaScript or TypeScript, UI test framework familiarity, and substantial experience operating distributed test infrastructure and orchestration pipelines. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The TV Developer Lifecycle Team is responsible for creating a high-velocity developer ecosystem for writing, validating, and shipping high-quality TVUI code. The team empowers TV UI Engineers to build, test, & ship features with speed, quality, and confidence. From CI/CD to test infrastructure to monorepo toolchains to quality & test observability to monorepo AI infrastructure, this team shapes how hundreds of millions of members discover and enjoy entertainment on their biggest screen at home. If you're passionate about crafting elegant, high-performance software that reaches a massive global audience, this is where foundational engineering meets real-world impact at scale. We celebrate diversity of identities, ideas, backgrounds, and experiences. We believe our best work stems from fostering safety & trust and enabling each of us to be our authentic selves. We selflessly use our unique strengths to support one another and help each other grow. We have a distributed team with teammates across the US. While some of us are in person, the team is committed to ensuring remote work is a collaborative and productive experience for everyone, regardless of where you commit code. The Role We're seeking a senior engineer to build and scale the test infrastructure behind the Netflix TVUI CI platform. You'll own the orchestration services, CLI tools, device fleets, and observability that power large-scale test execution across screenshot, end-to-end, performance, and on-device suites, as well as the operational health of those systems. This is a customer-centric, data-driven role. You'll instrument deeply, drive strategic investments in test infrastructure that mitigate risk across a diverse device ecosystem, and ensure steady progress in the areas where it matters most. You: Our team members excel when they are curious, growth-oriented, and collaborative. We take a customer-centric approach to our work, so listening, learning, and adapting are essential. We assume good intent and consistently seek to improve ourselves and our solutions. There are no absolutes, and we must remain flexible to meet the needs of our customers and the business, so “strong opinions loosely held” is a valued attribute within the team. If this resonates with you, we’d love to talk! Useful experience: Operating distributed test infrastructure at scale Test orchestration & execution pipelines (parallelization, sharding, predictive test selection) Experience with building test frameworks Test stability and flakiness mitigation Familiarity with UI Test Frameworks & Automation (Puppeteer, Playwright, Jest, Vitest) Experience scaling and tuning test performance across device pools CI/CD systems (Jenkins, BuildKite, GitHub Actions) Strong ownership of reliability and incident response for owned systems Optimizing runtime performance of test pipeline Agentic PR/CI workflows TypeScript/JavaScript What’s Different About Us: Scale, Impact: You’ll enable over 140 engineers to create best-in-class streaming UIs used by hundreds of millions of members across a broad spectrum of devices worldwide. Unique Technical Problems: While our stack is primarily JavaScript and TypeScript, you’ll build on our custom TV platform with unique constraints and capabilities. Collaboration and Communication: It’s not all about the tech. We highly value the skills required to build strong relationships and collaborate effectively. Freedom, Responsibility, Ownership: We believe in providing engineers with the business context they need and giving them the freedom and responsibility to define project scope, define/debate architecture, identify trade-offs, and figure out the implementation details. Our Culture: Lastly, but most importantly, we live by our values. What Sets You Apart: You’re passionate about writing elegantly designed, maintainable, performant software. You enjoy pushing the boundaries of what technology can do and exploring uncharted waters. You love to empower other engineers and strive to understand their use cases. Colleagues appreciate the unique perspectives and balanced views you bring to collaborations. You value the perspective of others when identifying solutions. You know there is rarely one ‘right’ solution, and you make thoughtful trade-offs. You understand that our goal is to solve problems, and a language, framework, or library is a means to an end. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Build and operate shared agent-platform primitives, including runtime, SDK, memory, interfaces, evaluation, and safety capabilities, while setting technical direction and prioritizing business impact. | Requires typically 8+ years of production software engineering, production LLM-agent experience, rigorous agent evaluation, scalable distributed-systems expertise, SDK or API ownership, Python plus another listed language, and strong cross-functional communication. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose through personalization, to making payment processing easier. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. # The Opportunity Agents are one of the ways work gets done at Netflix — and the AI Platform is building the foundation they run on. The Agent Platform team owns the durable, horizontal substrate every agent at Netflix is built on, no matter which team ships it or which business it serves: the runtime agents execute in, the SDK developers build them with, the memory that lets them carry context across runs, the identity and permissioning that lets them act safely, and the tool and service interfaces they reach the rest of Netflix through. We are a small team with outsized leverage — what we ship becomes the foundation for agents across all of Netflix. The hardest problems we work on have no vendor answer and no textbook: how a non-deterministic system earns trust at member scale and how memory and evaluation become a loop that makes agents measurably better, not just bigger. This is a senior individual-contributor role for an engineer who wants to build that foundation hands-on — to own a core primitive end-to-end and set its technical direction, in a domain that is still being invented and where the frameworks turn over in months. The defining work is judgment about what to build and what actually moves the business — expressed in code and contracts the rest of the company depends on. You will: * Design, build, and operate a core agent primitive end-to-end — the runtime, the developer SDK, the memory layer, the tool and service interfaces, or the identity and permissioning substrate. You own it as a paved path other Netflix engineers ship production agents on, including the reliability and day-2 operations that non-deterministic systems running at very high — sometimes member-facing — scale demand. * Build the loop that lets agents improve from their own experience. Capture each run's full reasoning-and-tool-call trajectory as structured, replayable data; turn real-world outcomes into evaluation signal; make memory compound across runs; and close the feedback loop so improved behavior ships behind eval gates and safe rollout. These are the most durable problems in the space — make them first-class platform capabilities with real contracts, not afterthoughts. * Build the quality and safety surfaces teams can't ship agents without — the tracing, quality signals, and guardrail hooks that tell a team whether an agent is actually any good and contain non-deterministic behavior before it reaches production. * Aim the hard problems at business impact. A pull toward hard technical problems is the baseline here — the differentiator is aiming it at the ones that move Netflix's business, from personalization and content to payments and the member experience. Know where an agent actually changes a member or business outcome, and let that decide what the platform takes on and in what order. * Set technical direction and raise the bar. Make the hard architecture calls in your area, drive cross-team technical initiatives with ML scientists, product managers, and security, compute, and data partners, and define the clean interfaces a shared foundation depends on — leading through technical credibility, not authority. * Iterate fast with real users. Ship, learn from how agent developers actually build, and turn that into durable platform capabilities rather than one-off fixes. If you want the distance between "a frontier idea about how agents should work" and "the substrate every agent at Netflix runs on" to be one team, this is the role. # Minimum Qualifications * Significant software engineering experience (typically 8+ years), with a track record of shipping and operating production systems — not just prototypes. * Hands-on experience building, deploying, and operating LLM agents in production — systems that plan, call tools, observe results, and iterate — beyond chat-completion apps or demos. * Experience evaluating agents the rigorous way: building eval suites, tracing, and quality signals, then iterating on the results to make agents measurably better. * Strong fundamentals in designing and operating scalable, observable, fault-tolerant distributed systems. * A track record of building SDKs, APIs, or libraries that other engineers build on — you think in contracts, versioning, and developer experience, not just features. * Working fluency with modern agent frameworks and the tool/function-calling and MCP patterns they share — deep enough to have an opinion about where they help and where they get in the way. * Proficiency in Python and its packaging tooling, plus one of Java, Go, C/C++, Rust, or Zig. * A track record of choosing what to build by business impact, not technical interest alone — you partner closely with the teams and stakeholders you serve, and can point to outcomes that moved the business, not just systems you shipped. * Strong written and verbal communication; comfort with ambiguity; able to drive both 0-to-1 and 1-to-100 work; effective across a distributed (US) team. # Preferred Qualifications * Experience building memory or state systems for agents — context that compounds across runs — especially at high scale. * Experience with the emerging class of agent concerns: agent identity and permissioning, guardrails and safety, and cost governance for LLM and agent workloads. * Credibility in a relevant open-source ecosystem (agent frameworks, runtimes, evaluation, or developer tooling). * Familiarity with our stack — Temporal, FastAPI, PostgreSQL, Kubernetes — and with large-scale build, release, CI/CD, and observability practices. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Lead the strategy and modernization of Netflix's compute platform, including GPU capacity, fleet efficiency, and scalable infrastructure for internal teams. | Requires 10+ years in technical product management or compute infrastructure, deep distributed systems and Kubernetes expertise, and leadership in large-scale migrations and architectural strategy. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Netflix's Infrastructure Engineering organization provides the backbone that powers Netflix's global scale and operations across business verticals. Within this organization, Cloud Infrastructure Engineering provides a secure, scalable foundation that accelerates the productivity and innovation of Netfl technology teams by abstracting infrastructure complexity behind a managed platform. Compute sits at the center of that foundation: every service, batch job, training run, inference request, and agent at Netflix ultimately runs on the compute platform we build. Our Compute platform runs many kinds of workloads at a massive scale. That includes stateless and stateful services, batch jobs, streaming, media encoding, and a growing amount of distributed training and inference across our GPU fleet. Agentic workloads are now part of that mix. They introduce a new set of platform needs. Identity, sandboxed execution, observability, and cost accountability all need to be built in from the start. The Opportunity We’re looking for a Principal Product Manager with broad knowledge of distributed systems and infrastructure, strong systems thinking, and the ability to work with engineers at architectural depth. You’ll lead the modernization of Netflix’s Compute Platform as AI becomes a larger part of what we build. The goal is a common platform where services, batch jobs, training, inference, and agents can run securely, reliably, and efficiently at Netflix scale. You’ll own product direction and execution across the Compute portfolio, making the tradeoffs required to evolve our infrastructure, support new workload patterns, use capacity effectively, and meet specialized needs across Studio, Ads, and Games. You’ll turn deep technical context into a coherent strategy, sound product decisions, and meaningful results across the business. You’ll have the autonomy to make those decisions and the accountability that comes with them. What You Will Do Set the strategic direction for Netflix’s Compute platforms in an agent-first world. You’ll define how our platform evolves to support this future, including guiding the move from Titus to a modern Kubernetes stack and weighing migration costs against the value of a common platform. At Netflix scale, this evolution is as much a product challenge as an engineering one. Improve how we manage GPU capacity. You’ll own the roadmap for provisioning, scheduling across regions, and fleet utilization. The goal is to give training and inference workloads the capacity they need within seconds while using the fleet efficiently. Define how agents run at Netflix. You’ll lead the development of a secure, managed environment that can support millions of agents, with built-in identity, isolation, governance, observability, and cost tracking. Make compute easier to use by creating a seamless experience across the full compute spectrum, from VMs to functions. You’ll improve our managed offerings so teams can focus on their work rather than infrastructure details, guided by regular engagement with service owners, ML engineers, and teams building agents. Improve efficiency across the fleet to drive hundreds of millions of dollars of impact. You’ll work on defining systems that manage compute supply and demand to ensure efficient resource use and that compute costs grow more slowly than demand. You’ll also establish clear measures for adoption, utilization, cost per workload, and reliability. Partner with teams across Ads, Live, Games, and Studio to ensure our compute platform supports their most demanding workloads, from sudden traffic spikes during ad breaks and live events to latency-sensitive processing in regions with limited local infrastructure. What We're Looking For Strong technical product management skills are table stakes. What will set someone apart in this role is: More than 10 years of experience in technical product management or a similar technical role in compute infrastructure. You should be comfortable debating architecture, trade-offs, and system quality with senior engineers. Deep knowledge of compute infrastructure, including containers, Kubernetes, scheduling and orchestration, autoscaling, capacity management, multi-tenancy, and cloud economics. A strong understanding of AI infrastructure. This includes GPU provisioning, scheduling, and utilization for distributed training and inference, as well as the needs of agentic workloads such as secure execution, workload identity, isolation, and cost attribution. Experience leading a large replatform or migration from start to finish. You understand that sequencing, adoption, incentives, and the long tail of migration are product decisions, not cleanup work for engineering. The ability to earn the trust of experienced engineers and challenge their thinking in useful ways. You make clear decisions with incomplete information, hold direction under pressure, and change course when the evidence calls for it. Strong leadership and communication. You can explain complex decisions to technical and executive audiences, build alignment across teams, and influence without relying on authority. You assume good intent, seek out different perspectives, give and receive direct feedback, and prioritize shared outcomes over individual ownership. We are an equal opportunity employer and celebrate diversity, recognizing that diverse thought and backgrounds build stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our culture is unique, and we live by our values, so it’s worth learning more about Netflix culture. More About Compute @ Netflix How Netflix Simplified Batch Compute with Kueue In-House LLM Serving at Netflix Scaling LLM Post-Training at Netflix Mount Mayhem at Netflix: Scaling Containers on Modern CPUs How Netflix's Container Platform Connects Linux Kernel Panics to Kubernetes Pods Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Lead the strategy and roadmap for emerging content formats and partner across design, engineering, and data science to test, launch, and measure product features. | Requires 7+ years in consumer product development, full product lifecycle ownership, strong leadership, data-informed decisions, and effectiveness in fast-moving environments. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Team The Product Merchandising organization connects members to our world of entertainment by creating a Netflix experience that is engaging, relevant, and truly delightful for everyone, everywhere. Blending intuitive discovery and local expertise, the team positions, promotes, and presents content so members find it easy and enjoyable to choose what they'll love. Within this organization, the Content Experience Innovation (CEI) team of Product Managers is leading the strategy to shape how Netflix members discover and engage with emerging content. This includes areas like Games discovery, Live & Sports streaming events, Podcasts, and much more. Our work spans all platforms (TV/living room, mobile, tablet, and web), and includes features and experiences across discovery/browse, player, profiles, and new surfaces. The Role We're hiring a Product Manager, Emerging Formats to join the CEI team. You'll lead the evolution of discovery and engagement experiences for emerging content types as Netflix's offering grows. You'll set the vision and shape discovery experiences, partnering with cross-functional teams on features and capabilities that delight members. You'll turn those concepts into a well-scoped roadmap, prioritize among competing efforts, and help the team deliver its best work. As Netflix expands beyond film and series, you'll work across the PM community so the member experience for new formats fits into the bigger picture, alongside Live, Games, Podcasts and more. You'll sit at the intersection of Product, Tech, Content, and Production, and act as the connective tissue that keeps our product surface in step with our content strategy. Your mission is to define the product strategy, member needs, roadmap, and experimentation approach that let diverse content types thrive on one unified platform. You'll bring curiosity and a collaborative approach to translating Emerging Formats and CEI goals into product strategy. You'll thrive at the hub of a fast-moving environment, working daily with experts across the tech and entertainment sides of the business and balancing requirements and tradeoffs along the way. You're passionate about building alignment, and you can keep momentum and move forward amid ambiguity, even when full consensus isn't possible. What You'll Do As Product Manager, Emerging Formats, you'll be the strategic lead for emerging content types on Netflix: Work through open-ended problems and identify opportunities to evolve existing experiences or define new discovery, capability, or feature requirements Build a roadmap and take product concepts from idea through validation, shipping, measurement, and iteration Author strategy memos and presentations that represent your team's work, so the broader organization understands the Emerging Formats product strategy and roadmap Proactively seek diverse viewpoints to keep our focus on the most strategic and impactful work in Emerging Formats Influence and align a team of talented colleagues across design, engineering, consumer insights, merchandising, and data science to deliver outstanding products Build business cases and measure the impact of your product innovation with your data science partners Deeply understand and socialize the evolving needs of our members with your consumer insights and design partners What You'll Bring As Product Manager, Emerging Formats, you're passionate about the work and bring: 7+ years of experience developing consumer products and features, and comfort operating with complex tradeoffs Experience owning the product development lifecycle end to end, from inception through planning to launch Demonstrated leadership of a space, working effectively across organizations to drive alignment Experience with A/B testing and strong business acumen, including identifying, tracking, and acting on metrics, designing tests, and collaborating with data science partners Strong attention to detail, with the ability to connect the smallest experience elements to company and team goals Data-informed judgment, and the ability to use data to tell the right story, not the other way around A balance of collaboration and openness to alternative views with clear, timely decision-making and communication of vision An eagerness to seek feedback and improve Nice to have: Experience with film, tv, audio, podcasts or other streaming media products at scale, and an understanding of the content lifecycle What We Offer Meaningful Impact: Make a significant difference in our business when it matters most, as we launch ambitious new initiatives that shape our future. Responsibility & Autonomy: We believe in transparency and empower our employees with the autonomy to innovate. Our unique Netflix culture is a cornerstone of how we drive innovation. Creative Freedom: Enjoy the freedom to tackle interesting challenges and influence outcomes in a fast-paced, dynamic environment. Collaborative Excellence: Work alongside intelligent, driven individuals who are passionate about solving complex problems together and who support each other in doing their best work. Location of Work The Product Merchandising organization embraces flexibility with regard to location of work, with most folks working remotely. This US-based role has flexibility from West to East coasts, with the understanding that key collaborators are primarily based in our California offices (Los Angeles and Los Gatos). We therefore expect availability during California working hours. Remote team members will need to travel to the California offices for key meetings as needed and for occasional team gatherings. Netflix is known for its unique culture and environment. Learn more here. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Own end-to-end execution of new sports content features collaborating with cross-functional teams and using data-driven insights. | 6+ years in consumer product development with expertise in live sports streaming lifecycle, A/B testing, data analysis, and managing complex projects. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Team The New Content Exploration product team is leading the strategy to shape how Netflix members discover and engage with new content types. This includes 0 to 1 areas such as Live events, Podcasts, Creator content, Games discovery and more. Our team is responsible for building the end-to-end member experience for Live and delivering innovative Sports features to market. Our work spans all platforms (TV/living room, mobile, tablet, and web), and includes features and experiences across discovery/browse, player, profiles, and new surfaces. In the past two years, Netflix has been home to record-breaking NFL Games, Boxing Events, and the World Baseball Classic Tournament. Netflix is accelerating its ambitions to capture real-time, unscripted magic of Live events looking ahead to the Women's World Cup and beyond. As the ambitions for Live and Sports are growing bigger and bolder in the years to come, a truly innovative product experience plays a critical role in bringing the magic to our members. The Role As Product Manager for the Sports Experience, you will own the end-to-end execution of new features for our Sports content slate. You will work in close partnership with the Product Lead for Live and Sports to align on the overall roadmap and priorities. You will directly own portfolio features across the roadmap spanning the Discovery and Playback experience. As we look to onboard new content experiences, you will be at the forefront of scaling our Sports features to those partners. You’ll interface closely with a broad cross-functional team including Design, Engineering, Data Science, Marketing, Content and Product. You must be comfortable at the hub of a fast-paced environment where you interface daily with cross-functional experts across both the tech and entertainment sides of the business, with proven success in balancing requirements/tradeoffs effectively. You must be passionate about building alignment, while not being afraid to push ahead when there remain some critics, influencing and keeping momentum in the face of ambiguity. What You’ll Do Launch new features by owning workstreams end-to-end, from framing the problem through launch, measurement, and the next iteration. You drive your areas independently with strong responsibility. Influence a team of stunning colleagues across design, engineering, consumer insights, merchandising and data science to deliver outstanding products Proactively identify new investments by leveraging consumer insights, market trends, and platform data to uncover new product opportunities for Sports, actively shaping the broader strategic roadmap for our rapidly expanding live ecosystem. Working through open-ended problems and identifying opportunities for evolution of existing or conceptualizing new discovery, capability or feature requirements Build business cases and measure the impact of your product innovation, with your data science partners Run A/B tests and set the success metrics before launch, run the tests with your data science partners, and interpret the results. What You’ll Bring As Product Manager, Sports Experience, you’ll be passionate about the work, bringing: 6+ years of experience developing consumer products and features and comfortable operating with complex tradeoffs Experience working on Live Sports streaming products at scale, and a great understanding of the Sports lifecycle Very high attention to detail, with an ability to connect the smallest experience elements to the big picture goals at the company and team level Excellent bias to action, shipping and iterating on 0 to 1 projects quickly. Ability to function as the E2E owner of the product development life cycle from inception through planning to launch Working effectively across cross functional teams to drive alignment Experience with A/B testing, and strong business acumen with proficiency in identifying, tracking and acting upon metrics, designing tests, and collaborating with data science partners Excellent data-informed judgment, and ability to leverage data in service of telling the right story, not the other way around Great balance of being collaborative and open to alternative views while being decisive and clearly communicating vision An eagerness to seek feedback and improve What We Offer Meaningful Impact: Enjoy the opportunity to make a significant difference in our business, when it matters most as we launch big bets that shape our future. Responsibility & Autonomy: We believe in transparency and empower our employees with the autonomy to innovate. Our unique Netflix culture is a cornerstone of how we drive innovation. Creative Freedom: Experience the freedom to tackle interesting challenges and influence outcomes in a fast-paced, dynamic environment. Collaborative Excellence: Work alongside intelligent, driven individuals who are passionate about solving complex problems together and fostering accountability of high performance. Location of Work The Product Merchandising organization embraces flexibility w/r/t location of work, with most folks working remotely. This US-based role has flexibility from West to East coasts, with the understanding that key collaborators are primarily based in our California offices (Los Angeles and Los Gatos) therefore an expectation of availability during CA working hours is set. Please note that travel to the CA offices will be required for remote team members for key meetings as needed and occasional team gatherings. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Develop and maintain UI features for TV applications using JavaScript/TypeScript and React frameworks. | 3+ years experience with consumer-facing apps, proficiency in JavaScript/TypeScript, and collaboration skills. | Job Description: • Build state-of-the-art UI features on Netflix’s leading TV application for performance- and memory-constrained devices • Collaborate with product, design, algorithm, and engineering partners to scope projects and build user experiences • A/B test product variants with real customers • Develop and maintain TypeScript/JavaScript code using React frameworks and Redux architecture for TV platforms • Test features with proprietary Jest-based automation frameworks • Write testable code and create automation to validate functionality in partnership with test engineers • Own feature quality and deliver measurable business impact Requirements: • 3+ years of experience working on consumer-facing products/apps • Proficiency in JavaScript/TypeScript • Ability to navigate different languages and technology stacks, such as Node.js and GraphQL • Curiosity about how members use the application and eagerness to build product features • Ability to bring unique perspectives and balanced views to collaborations • Ability to value others’ perspectives when identifying solutions • Strong independence and bias toward action • Inclination for collaboration Benefits: • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off, including vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off • Accommodation/adjustment support during the hiring process

Design and develop high-volume, low-latency conversion APIs for ad measurement and optimization while ensuring privacy compliance. | Requires experience with conversion APIs, streaming architectures, ad tech knowledge, privacy regulations, and strong collaboration skills. | At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team The Netflix Ads Identity, Signals and Audiences team is committed to providing a relevant and engaging advertising experience that prioritizes member privacy. Our mission is to maintain accurate member identities and curate valuable Signals and Audiences ensuring that ads are engaging, optimized and compliant with consumer privacy choices and regional regulations. The Role As a Software Engineer on the Ads Identity, Signals and Audiences team, you will be instrumental in designing and developing Netflix Conversion APIs. These APIs are essential for powering critical Measurement, Optimization, Retargeting and Reporting capabilities. Your responsibilities will include building high-volume, low-latency services capable of ingesting consented user engagement events from Advertiser properties in near-real-time. This ingestion will support various methods, including server-to-server streaming, pixel requests, and batch uploads. You will join a skilled team of professionals dedicated to ads technology and user privacy, collaborating within a culture that strongly promotes continuous learning, diversity, and creativity. Required Experience And Skills • Conversion API and Event Processing: Demonstrated experience in building server-to-server, batch and pixel Conversion APIs. This includes processing conversion events from diverse sources to create high-fidelity, identity and attribution-enriched, and deduplicated "gold" data sets for consumption by downstream services. • Unlocking Conversion Value: Expertise in leveraging conversion events to enable valuable derivative services, such as retargeting and outcome-based optimization. • Streaming Architectures: Practical experience with streaming event architectures and related technologies (e.g., Kafka, Flink). • Ad Tech and Privacy Knowledge: Strong understanding of the ad technology and advertising landscape, including programmatic advertising and current digital marketing trends. Familiarity with global ads regulations, as well as privacy, consent, and legal compliance. • Collaboration and Communication: Excellent communication, negotiation, and relationship-building skills, with a proven ability to work collaboratively across diverse, cross-functional teams. • Adaptability: Ability to thrive and effectively manage multiple priorities in a fast-paced, dynamic work environment. Nice To Haves • Familiarity with clean rooms and industry-leading privacy-enhancing technology for multi-party data sharing. • Experience working in the CTV space and knowledge of its unique constraints. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.