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.

At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence (e.g. Artwork, Trailers, Synopses) that authentically represents each title and resonates with the member is essential to this effort.

The Promotional Assets & Creative Technology DSE team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. Our team partners closely with Netflix's world-class creative designer teams to amplify and scale promotional media assets for our members. We are looking for a seasoned applied Research Scientist to design and develop innovative AI/ML solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how diverse media types are promoted on Netflix and discovered by our members.

Responsibilities

• Lead the end-to-end process of AI/ML development and deployment spanning research, model training, offline and online evaluation, and large-scale productization
• Partner closely with other research scientists and engineers to effectively integrate models into business applications and platforms
• Serve as a cross-functional subject matter expert to surface high-impact opportunities, define roadmaps, and prioritize research investments; drive execution with engineering, product, and creative teams.
• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions
• Advance the state of the art and deliver innovations that enhance content discovery experience of our members.
• Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand

About You

• Strong AI/ML foundations with hands-on experience training, evaluating, and deploying vision-language models and multimodal LLM systems.
• Demonstrated research impact in computer vision and multimodal learning, evidenced by publications at top-tier conferences and journals.
• Strong programming skills in Python and experience with common ML frameworks such as PyTorch or Tensorflow.
• MS or PhD in ML, Computer Science or related fields.
• Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems.
• Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.
• Comfortable with ambiguity, able to take ownership, and thrive with minimal oversight and process.

Bonus Points

• Experience in building agentic workflows and systems for multimodal search and understanding is a big plus.

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.

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.

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 business continues to expand in new ways to serve our global members. Whether it’s evolving how we offer best-in-class entertainment content to new forms that entertainment may take (games, live events, etc), as a global company it is important that we build high-quality infrastructure tailored to supporting innovation at scale.

The role

This role sits on the Enterprise Experience Design team, specifically in our Content Business Product Foundations department. This team is responsible for designing horizontal solutions that power our core Netflix business products including access management, notifications, data management, search, and much more. This is one of the newest teams in the Content Business Product Organization and is rapidly growing to meet the vast demands of our growing business verticals. The Media Platforms department is dedicated to providing asset intelligence, media storage solutions, and support for production and distribution enablement.

As a Senior designer, you will work at multiple levels - from strategic to tactical - from helping to define the team’s strategy and vision, to rapidly sketching and testing prototypes, to working with engineering to refine features as they are being built. We are looking for a seasoned designer who has a passion for designing for deeply technical domains, thrives in ambiguity, has a strong human-centered design process, has the desire to learn and collaborate cross-functionally, and designs systematic solutions that are equally thoughtful, elegant, and delightful.

This role is open to USA remote, but quarterly travel will be expected to our offices in California (LA or Los Gatos), New York City, or Seattle to engage in person with your team and cross-functional stakeholders. Regardless of location, you’ll be expected to work PST hours.

What you’ll do

• Partner closely with multi-disciplinary team members - Product Design, Content Design, Product Management, Engineering, Research, Operations, and others – to take the business to the next level;
• Work across all stages of the design process (user research, workflow and systems mapping, ideation, concept development, validation, prototyping, final visual design, and implementation support);
• Deeply understand users and their needs, including generative user research and exploration;
• Ability to collaborate effectively with highly technical teams, underpinned by a solid understanding of fundamental coding principles and best practices;
• Create thoughtful end-to-end user experiences that simplify the complexity underneath the UI layer;
• Conduct usability testing and iterate on designs with users;
• Partner with PMs to craft systematic solutions that connect the dots between user needs, data, business goals, and business strategy;
• Partner with engineers to build impactful products and features within the constraints of our technology and timeline;
• Facilitate collaborative work sessions with all levels of company stakeholders;
• Advance the discipline of product design within the organization and with partners and clients.

The must-haves

• 5+ years of experience in enterprise software product design;
• Track record of designing and shipping enterprise or B2B experiences that have scaled to thousands of users and had successful outcomes for global users and the business;  Ideally in the areas of foundational technology (e.g. access/security) or developer experience.
• Ability to think at a high level about product strategy and articulate a vision;
• Ability to navigate ambiguity and drive clarity that brings the user, technology, and business together into an actionable roadmap;
• Experience connecting the dots across the organization with other related initiatives across the company while driving collaboration;
• Experience designing horizontal, foundational solutions that meet the needs of diverse business products
• Exceptional communication skills, in writing and verbally, whether in small group discussions, large-scale presentations, or with executives;
• Extraordinary thoughtfulness and craft in interaction design, visual design, and prototyping;
• Humble, collaborative approach to partnering with PMs, engineers, and business stakeholders to find the best solution together;
• Mastery of Figma’s advanced features such as Autolayout, Variables, DevMode, Responsive Prototypes, etc;
• At Netflix, all roles are expected to exemplify the values outlined in our culture.

When evaluating your experience and skills we will be focusing on:

• An outstanding portfolio, showcasing your strengths in designing horizontal solutions for complex workflows - we want to understand how you map complex systems, your interaction design logic, and the rationale behind your design decisions;
• Effective English verbal/written communication and presentation skills, with the ability to successfully articulate design concepts to your team and senior stakeholders;
• Strong ability to think technically and collaborate seamlessly with engineers and data scientists as it pertains to understanding the benefits, possibilities, and constraints of common coding languages and machine learning platforms;
• Effective time management skills to balance project schedule with fast-paced deadlines;
• Strong conceptual thinking that balances user needs, business goals, and feasibility;

Please submit a portfolio and password with your application

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 $350,000.00 - $520,000.00. 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.

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 Ads data engineering team builds centralized and large-scale datasets that support the overall goals of our Ads data initiatives, focusing on the creation of standardized, scalable datasets, frameworks, and integration mechanisms to enhance discoverability, accessibility, and usability for all stakeholders within the Ads organization. We deliver data as a product through defining core foundational data and providing reusable, consistent, and curated datasets that typically unify data from various systems and data producers, ensuring we account for any changes upstream, such as new ad products (e.g. what is pitched and sold to Netflix advertisers), event types, or integration channels, so our customers have the data they need to build solutions and make decisions. 

We are looking for a stellar Data Engineering Manager who can lead a team of talented data engineers and oversee the Ads inventory and demand management (forecasting, simulation), pricing/packaging, media planning data, sales performance data, and sales workflow automation. This role is critical to building reliable, scalable systems that enable accurate inventory prediction, packaging, and sales operation excellence. Your leadership will ensure the creation of robust, scalable, and efficient data pipelines and platforms, enabling Netflix to deliver targeted and impactful advertising experiences to our members while maintaining a strong commitment to data privacy and security.

In this role, you will:

• Lead a team of strong engineers building high-scale, highly reliable data processing systems serving the Ads domain.
• Build a strong team vision and roadmap for the team.
• Effectively partner with a diverse group of stakeholders to enable healthy and impactful collaboration among teams.
• Offer direct, constructive feedback grounded in empathy. Help team members amplify their strengths and grow through their challenges. Be a thought partner in their career development.
• Monitor and proactively address any drain on the team's productivity and efficiency, ensuring the team can focus the majority of their efforts on innovation.
• Hire and grow a diverse, high-performing team of top-tier data engineering talent.

What we are seeking in an ideal candidate:

• You have 8+ years of experience in data engineering.  You have strong programming (at least 1 major language) and SQL experience in your background.
• You have 3+ years of engineering leadership experience, preferably in the Ad tech domain.
• You see what’s ahead and advocate for smart investments, efficiency, innovation, and long-term value.
• You attract top talent and build inclusive, high-performing teams. You know great outcomes start with great people.
• You care about your team’s growth and well-being. You handle tough conversations with empathy and clarity.
• You have a strong engineering background and can guide teams to deliver great technical outcomes. A BS in Computer Science/Engineering or a related discipline.
• You have strong experience with distributed data processing technologies (i.e. Spark/Hadoop/flink, etc.)

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 $446,000.00 - $752,000.00. 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.

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 Developer Platform sits within the Infrastructure Engineering organization to amplify the productivity and business impact of Netflix engineers by providing a cohesive developer platform that optimizes developer experience, automates workflows, manages complexity, and accelerates the development, delivery, operations, and maintenance of high-quality software. Our mission is to enable Netflix to scale effectively and evolve rapidly by providing highly reliable, performant, secure, and flexible developer tools, services, and infrastructure. Ultimately, we aim for Netflix engineers to spend less time on repetitive engineering tasks, unnecessary complexity, and undifferentiated heavy lifting so they can focus on helping Netflix entertain the world.

The Opportunity

We are looking for a highly technical product manager to drive the vision and strategy for our Application Development Platforms within our centrally supported language ecosystems: Java, JavaScript/TypeScript and Python. The initial focus will be on the Java ecosystem with expansion over time to other languages and ecosystems.

Your primary mission is to keep developers in the flow during application development for the thousands of existing services, data processing jobs and user interfaces as well as the dozens that are created each day. You will deliver well defined and supported golden paths for developers that reduce cognitive load, increase software delivery velocity, improve reliability and alleviate the toil of software maintenance.

You will be responsible for the core components that enable this development, including:

• *Application frameworks* (i.e. Spring Boot, React, FastAPI)
• *Build & test systems* (i.e. Gradle, Vite, Junit, uv, TestContainers, pytest, Jest)
• *Libraries SDLC and dependency management*
• *Stability, Performance, and Adoption of the latest supported runtime, frameworks and tools*

What You Will Do

As the Product Manager for Application Development Platforms, you will have the following responsibilities:

• *Drive Product Vision and Strategy:* Deeply understand and triangulate across customer needs, developer productivity metrics, operational data, and external industry innovation to shape the vision and strategy for Netflix’s JVM ecosystem and Java application development offerings, ensuring they maximize business and developer impact.
• *Roadmap & Alignment:* Partner closely with senior engineering leaders and stakeholders to define a forward-looking roadmap. Align on priorities and trade-offs that support Netflix’s technology strategy.
• *Execution & Delivery:* Develop product roadmaps in partnership with engineering teams that execute on your vision. Clearly articulate problems to be solved, and see features through from idea to launch.
• *Metrics-Driven Improvement:* Define key success measures (e.g., build times, time to deploy, framework migration progress, performance metrics) and drive experiments or initiatives to continuously improve those metrics, fostering a metrics-driven mindset for developer productivity.
• *User Engagement:* Create strong partnerships with Netflix engineers through regular outreach and feedback loops. Gather input via interviews, surveys, and usage data to deeply understand their workflow challenges. Champion the voice of the developer.
• *Technical Excellence & Reliability:* Drive technical excellence in our Java application framework and runtime systems. Ensure these systems are highly reliable, secure, and performant.
• *Industry Awareness & Build vs. Buy:* Stay informed about advancements in languages ecosystems, application frameworks, and build tooling. Evaluate opportunities to incorporate cutting-edge tools or practices and conduct thoughtful buy-vs-build analyses.
• *Prioritization & Focus:* Prioritize effectively to maximize impact, balancing quick wins with foundational investments, and user experience improvements with technical scalability. Maintain clarity on short-term vs. long-term goals.

What We’re Looking For

*Experience & Skills:*

• 8+ years of Product Management experience (or equivalent technical role), with a proven track record of managing and evolving a broad product portfolio and driving product vision and strategy in a complex, technical domain.
• Strong technical knowledge and depth of application development fundamentals, the JVM ecosystem, modern application frameworks, build systems, and dependency management methodologies.
• A healthy blend of deep technical knowledge with a customer-focused mindset and empathy for engineers. You must be comfortable discussing topics like design trade-offs and system quality attributes (scalability, reliability, performance, security) with engineering teams.
• Demonstrated passion for developer platforms, tools, workflows, and infrastructure, staying up-to-date on industry best practices in DevOps/DevEx.
• Strategic thinking that can connect customer use cases and pain points to innovative technology solutions, thinking holistically about the end-to-end experience.
• Outstanding written and verbal communication skills, with the ability to influence stakeholders at all levels and navigate complex organizational boundaries.
• Comfortable applying a combination of qualitative and quantitative methods to define success, prioritize problems, and measure impact.

We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds 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 Developer Platform @ Netflix

• Unifying the Netflix engineering experience with a federated platform console (video)
• Backstage in the wild (podcast)
• Telltale: Netflix Application Monitoring Simplified (techblog)
• Machine Learning for a Better Developer Experience (techblog)
• Managed Delivery: Bringing Infrastructure as Code to Spinnaker (video)

Some other links for our org:

• How We Build Code at Netflix
• Towards True Continuous Integration
• Evolving Continuous Integration at Netflix
• How Netflix Autoscales CI
• Devtools at Netflix: Culture, Speed and Innovation
• Baking Bitbucket in the AWS Cloud at Netflix

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.

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 Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0-to-1 space.

We are seeking an experienced Manager, Ads DSE Measurement & Audience Insights to lead the development and delivery of innovative first-party measurement solutions, enable seamless integration with third-party measurement providers, and deliver end-to-end measurement reporting that powers actionable post-campaign insights. Your team will be responsible for defining incrementality design and methodology, drive cross-platform comparability, and ensure the accuracy of our reporting frameworks. This critical role will be responsible for establishing a scientifically rigorous, privacy-forward foundation for campaign impact measurement. 

The ideal candidate will bring a strong track record of partnering with product, engineering, and regional measurement teams to build measurement products that are both technically robust and commercially valuable. Join us and help shape the future of ad measurement through science, experimentation, and productized insights!

Responsibilities

• Build, lead, and inspire a high-performing team of data scientists and analytics engineers.
• Foster strong, collaborative partnerships with key stakeholders across Product, Engineering, and GTM teams.
• Define and execute a team charter and measurement roadmap that scales with the business—prioritizing high-impact initiatives, product integrations, and standardized post-campaign reporting capabilities.
• Act as a bridge between technical and commercial teams, bringing deep understanding of the ads ecosystem—including how CTV campaigns are served, measured, and optimized—to shape both product features and go-to-market narratives.
• Oversee integration and validation of third-party measurement partners, ensuring accuracy, consistency, and interoperability with internal systems while evaluating when first-party solutions provide differentiated value.
• Ensure the delivery of consistently high-quality, statistically rigorous measurement outputs, including campaign lift results, incrementality experiments, and actionable insights that influence product direction and client strategies.
• Champion clarity in reporting and visualization, guiding the development of self-serve dashboards, post-campaign wrap reports, and executive summaries that resonate with both technical and non-technical audiences.

The Ideal Candidate

• Proven leadership experience with a strong focus on data-as-a-product solutions, including building first-party measurement frameworks, self-serve reporting tools, and actionable insights platforms.
• Demonstrated tenacity and resilience in driving complex, cross-functional projects—able to navigate challenges, propose innovative solutions, and scale measurement and reporting capabilities that meet diverse business needs.
• A dual thinker—highly quantitative and capable of translating complex data sets into actionable business insights, while also demonstrating high emotional intelligence (EQ) to act as a trusted product ambassador to internal teams and external business partners.
• Player-coach mindset—able to develop long-term measurement roadmaps and product strategies, while simultaneously executing hands-on technical tasks and ensuring the team delivers high-quality, impactful outputs.
• Excellent communicator, able to build relationships, communicate technical and non-technical information clearly, write detailed reports, and deliver compelling presentations to internal and external partners.
• Business-minded with the ability to translate strategic objectives into actionable analyses, and use those insights to drive data-driven recommendations that optimize product offerings and advertising effectiveness.
• A passion for TV and movies, and defining the future of entertainment.

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 $480,000.00 - $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.

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.

As a Senior Data Scientist focused on Infrastructure Availability, you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to create metrics, build tools, perform analyses and make recommendations on how to improve the reliability and availability of our systems using data. You will work closely with partners in data science, software engineering, performance engineering and technical product management to develop metrics to assess current performance across systems and product domains, define what adequate performance looks like,  understand the root causes of availability issues, and make recommendations for how the business should prioritize system performance improvements.

The ideal candidate will excel in metric research & development, statistical modeling, causal inference, and share a passion for continuously improving the way we use data to make the Netflix infrastructure better.

To learn more about our team, read here.

*In this role, you will:*

• Develop metrics to measure the availability, reliability and performance of Netflix’s infra stack
• Partner with Data Engineering, Data Science and Analytics Engineers to productionize system level availability metrics and dashboards
• Partner with Software Engineers, Performance Engineers, Technical Product Managers and other product teams to conduct root cause and causal inference analysis of availability issues and make recommendations for how to remediate
• Connect with the larger analytics community at Netflix to bring more visibility to our work.

*You are:*

• Experienced in metric development and measurement in the domain of system reliability / availability for large, distributed systems, platforms, and/or infrastructure
• Fluent in at least one analytics and scripting language like Python.
• Experienced in engineering data pipelines and ETL in languages like SQL and workflow orchestration tools like Apache Airflow.
• Passionate about using data to help guide strategic decision making.
• An exceptional communicator with both technical and non-technical audiences. Experienced at telling stories with data and communicating to stakeholders at all levels of the business.
• Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems.
• Comfortable with ambiguity, and thrive with minimal oversight and process.
• A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs.

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 $372,000.00 - $600,000.00. 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.

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 Commerce Product Data Engineering team is at the forefront of optimizing the member acquisition and commerce experience globally. We are responsible for the foundational data products that drive customer sign-up, payment processing, and core commerce flows. Our work directly empowers Product Management and Data Science to run sophisticated experimentation and generate key insights that impact our global member base and company revenue.

We operate with a strong product mindset, treating data pipelines and core frameworks as high-quality products that must be reliable, scalable, and easy to use.

The Role

We are looking for a strategic and highly technical Data Engineering Manager to lead a team of talented Data and Software Engineers. This role is unique and critical as it requires balancing engineering enablement with business data delivery.

You will lead a team responsible for driving engineering excellence, tooling, and strategic partnership with the central Data Platform organization while also delivering high-impact business data products.

Key Responsibilities

1. Team Leadership & Talent Development

2. Lead and Inspire: Hire, coach, and grow a diverse, high-performing team of data and software engineers, fostering their technical and professional development through direct, constructive, and empathetic feedback.

3. Define Vision: Develop and execute a clear, impact-oriented roadmap for the team, aligning both core data initiatives and engineering enablement goals with broader Commerce and company objectives.

4. Drive Execution: Oversee the design, building, and scaling of robust, well-modeled, and reliable data products that support experimentation, analytics, and machine learning across the commerce domain.

5. Engineering Enablement

6. Build Tooling & Frameworks: Lead a critical function within the team dedicated to building reusable data frameworks, development tooling, and automation capabilities that significantly increase the productivity, efficiency, and data quality of the entire Commerce Product Data Engineering organization.

7. Operational Excellence: Define and drive best practices for data modeling, pipeline architecture, testing, and observability, ensuring a high bar for engineering excellence across the team.

8. Data as a Product: Champion the concept of data products within the team, focusing on discoverability, documentation, and the unification of data from complex upstream commerce systems.

9. Platform Strategy & Stakeholder Partnership

10. Influence Data Platform: Act as the primary technical partner to the central Data Platform team, proactively engaging to influence the direction, features, and capabilities of the core data platform to ensure it meets the unique needs of the Commerce Product Data Engineering team.

11. Cross-Functional Alignment: Build strong relationships and collaborate effectively with senior stakeholders across Product Management, Data Science, Engineering, and Finance to translate ambiguous business requirements into robust, scalable technical solutions.
12. Navigate Ambiguity: Provide clear direction and priority alignment in a fast-paced environment where business needs and technical challenges are constantly evolving.

The Ideal Candidate

• Engineering Leadership: You have 5+ years of experience in engineering leadership, managing and growing high-performing Data Engineering teams.
• Technical Acumen: You possess a strong background in data engineering, distributed systems, data modeling, and large-scale data processing technologies (e.g., Spark, Flink, or similar). You can guide complex architectural decisions and set a high technical bar.
• Tooling & Infrastructure Focus: You have specific, demonstrable experience leading efforts to build shared tooling, infrastructure, or platform features that enabled other data engineering teams to move faster and more reliably.
• Strategic Thinker: You look beyond immediate fixes to advocate for smart investments in infrastructure, efficiency, and long-term architectural value.
• Communication & Influence: You have exceptional stakeholder management skills, capable of building consensus and driving alignment across technical teams and senior business leaders.
• Product Mindset: You are passionate about the business value of data, understand the commerce/acquisition domain, and own the quality of the data products your team delivers end-to-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 $446,000.00 - $752,000.00. 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.

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.

Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. As we envision the future of content at Netflix, we're seeking an Analytics Engineer to join the Content Applied Science and Analytics team. In this role, you will partner with key content verticals–including Film, Series, Live, and Licensing–working on both ongoing strategic efforts and new content initiatives. This role will leverage cutting-edge analysis, data science, metrics, and models to drive progress in these spaces. Your role will extend beyond advising the business on content performance; you'll also be a thought partner to the diverse cross-functional teams that bring our content to life.

The ideal candidate for this role will excel at collaborating with partners across our business, using data to help our content teams create and distribute content that drives member value. They will also be a thought leader in the analytics domain, capable of transforming complex metrics and data science outputs into actionable insights.

What you will do:

• Empower New Content Initiatives: You will own the data vision for new content initiatives, defining success metrics, setting the architectural direction, and guiding the strategy for emerging formats from the ground up.
• Own Data Strategy: You will define and lead the analytics roadmap for your vertical, proactively identifying high-leverage opportunities that shape our comprehensive content strategy.
• Architect Advanced Insights: You will design and implement high-level analytical frameworks, dashboards, and custom tools that set the standard for how we measure and visualize content performance.
• Elevate Technical Standards: You will act as a technical bar-raiser for the team–mentoring peers, reviewing technical designs, and establishing best practices to ensure we are building robust, scalable solutions.

We are looking for:

• Creative Thinking: You are a creative problem solver who can look beyond the numbers to understand the art of storytelling, bringing innovative approaches to how we measure and understand content performance.
• Strategic Ownership: You operate with a high degree of autonomy, capable of owning the end-to-end vision for complex and ambiguous cross-functional projects and translating broad business goals into concrete technical strategies. Prior experience building data products, metrics, or strategies from the ground up is a strong plus.
• Technical Leadership & Mentorship: You pay attention to the details and make a conscious effort to understand causes instead of just the effects. You act as a force multiplier for the team, enjoying the process of mentoring others, conducting code/design reviews, and fostering a culture of technical excellence.
• Influential Communication: Exceptional communication with technical and non-technical audiences; you can effectively influence senior stakeholders and explain complex technical concepts with clarity.
• Analytical Rigor & Visual Storytelling: Combines grounded statistical methodology with visualization engineering to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash, Tableau, Looker) that drive business decisions.
• Technical Proficiency: Delivers scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, and version control.

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.

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.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Data Science Manager - Games Product and Platform to lead a group of Data Scientists and Analytics Engineers who are essential partners to our Games Member and Games Studio Product teams in delivering amazing on-Netflix game product and platform experiences to our Players. You will lead a team that provides the data strategy, measurement and experimentation for all games product experiences.

To succeed in this role, you’ll need a blend of data science and analytics engineering expertise, coupled with exceptional business acumen. You should have a mindset focused on standardization, scalability, and systematic frameworks, and the ability to influence senior leaders across different disciplines. Your leadership will be key to ensuring the team provides the insights that shape our overall games strategy and drive our business forward.

What you will be responsible for:

• You will enable the measurement, analytics and experimentation strategy for Games specific discovery features Players on Netflix interact with games specific surfaces to discover and engage with games content and the larger games ecosystem. You will both drive experimentation for games specific features, as well as collaborate with our member team on shared surface experiments.
• You will enable the measurement, analytics and experimentation strategy for Games Platform features
  As the Netflix Games platform expands, you will work directly with Product Managers as they build out game-adjacent features (Leaderboards, Achievements, Social etc) to track and measure their evolution.
• You will own the information flow of critical backend platform data Our internal development teams rely on device, crash and meta information on the performance of our services
• You will coach and inspire a high-performing team. You'll provide guidance and mentorship, ensuring the team's work is scalable, consistent, and delivers high-impact insights that shape our games portfolio.

Who will be successful in this role:

• You have demonstrated experience in building, managing, growing, and inspiring data science and analytics teams, with 10+ years of experience managing highly technical individual contributors.
• You have a deep understanding of data science, analytics engineering, and business analytics, with a focus on standardization, scalability, and systematic frameworks.
• You possess exceptional business acumen and the ability to effectively influence senior leaders across a variety of disciplines and business domains.
• You set the stage for your team to lead and shine - business impact and the team's success are above all else - you leave no room for ego.
• You have strong interpersonal and communication skills, with a proven ability to influence both technical and business senior leaders.

• You are comfortable with ambiguity and are a role model for the team through your consistently positive and collaborative approach.

• Ph.D. or advanced degree in Economics, Statistics, Mathematics, Business Analytics, or 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 $525,000.00 - $950,000.00. 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.

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.

This data scientist role will focus on characterizing the quality of experience specific to our nascent cloud games offering, and operationalizing it across the business to illuminate and drive prioritization against the highest impact opportunities.  You will join the team of Analytics Engineers, Data Scientists, and Data Engineers who partner with our infrastructure engineering teams to create metrics, perform analysis, and develop the tools and data products that help us make better decisions about our infrastructure and its impact on our product’s quality of experience.

What you’ll do:

• Establish the fundamental set of quality of experience metrics used to evaluate our Cloud Games sessions, which is likely to include research and development of several new metrics.
• Become the resident expert on all things Cloud Games Quality of Experience, partnering closely with Games Engineering and Games Studio teams to drive a culture of data-informed decision-making about our games title portfolio and the games platform infrastructure.
• Develop deep expertise in how the Cloud Games infrastructure works, and understand how data, analytics, experimentation, and algorithms can play an impactful role in driving improvements to its performance.
• Use a combination of experiment and observational data to understand the Netflix member perspective on their gaming experiences.  Help us understand the Netflix member perspective on their experiences.
• Translate valuable insights and data from this domain to initiatives in other parts of the business.

You have:

• Advanced training in a quantitative field (Data Science, Statistics, Mathematics, Engineering, Physics, Economics, etc) or commensurate work experience.
• Fluent in SQL. Comfortable prototyping pipelines of moderate complexity, with the ability to effectively partner with data engineering teams building more scalable solutions for important use cases
• Strong Quantitative Programming skills in Python, R experience a plus
• Passion for instrumenting and analyzing products to drive improvements to user experience, backed by strong product knowledge and intuition - ideally utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
• Demonstrated effectiveness at developing meaningful stakeholder relationships and deep domain expertise.
• The demonstrated ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
• Comfort with ambiguity, and the ability to thrive with minimal oversight and process.
• Embodied the Netflix values while bringing a new perspective to continue improving our culture.

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 $372,000.00 - $600,000.00. 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.