Jobs at Netflix

Own Talent’s knowledge governance strategy, taxonomy, information architecture, indexing, content lifecycle, and AI-readiness across a federated organization. Build standards, metrics, review rhythms, cross-business alignment, and AI-assisted content workflows. Partner with platform teams, guide business-unit adoption without direct authority, influence the Netflix Knowledge Platform roadmap, onboard additional business units, and establish the team needed to scale the function.

Sets technical direction and architectural coherence across Netflix’s Ads Data Engineering organization. The role guides cross-domain data system decisions, partners with engineering and business leaders, mentors data engineers, shapes platform-wide initiatives, and advances AI-native data engineering. Responsibilities span modern data foundations, ad-tech data flows, privacy and governance, platform migrations, scalable data products, and collaboration with Ads Platform Engineering, Data Science, and Product teams.

Develop and scale cloud-based media encoding pipelines supporting workflow orchestration, metadata publishing, task prioritization, and catalog management. Design distributed systems, write high-quality Java code, build automated tests, collaborate cross-functionally, and own projects from conception through production. The role supports streaming, advertising, broadcast television, video podcasts, and other media experiences.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

Own the strategy, roadmap, and lifecycle of Netflix’s internal employee support and knowledge products. Lead discovery, prioritization, delivery, adoption, and continuous improvement across Slack, Zendesk, Jira, integrations, and the Netflix Knowledge Platform. Partner with engineering, design, data, support, and business teams to improve self-service, agent productivity, knowledge management, workflow automation, and AI-powered employee experiences. Use customer research, metrics, and data foundations to identify opportunities and measure business impact.

Build and own high-performance UI features for Netflix’s TV application across streaming sticks, smart TVs, and cable boxes. Collaborate with product, design, algorithms, and engineering teams to define experiences, validate product variants through A/B testing, and deliver reliable, testable code. Lead large cross-functional projects while working with TypeScript, JavaScript, React, Redux, Node.js, GraphQL, and proprietary Jest-based automation frameworks.

Lead the creative vision and execution of Netflix Live’s visual design language. Build immersive creative worlds, scalable design systems, and polished broadcast or cinematic deliverables across live events, sports, formats, and genres. Direct and produce 3D assets from modeling through final render, leverage AI and emerging technologies, write creative briefs, guide cross-functional partners, present to senior leadership, and manage multiple productions while mentoring creative teams.

Design and develop scalable analytics tools, dashboards, evaluation frameworks, and observability systems for promotional media and marketing workflows. Partner with machine learning engineers, data scientists, product managers, and business stakeholders to monitor algorithm adoption, pipeline health, performance drift, and SLA adherence. Translate ambiguous creative and quality requirements into measurable objectives, improve recommendation and asset-generation models, and use data insights to guide business decisions.

Build and deploy low-latency machine learning models and inference infrastructure for Netflix’s advertising platform. Develop identity resolution, behavioral and contextual targeting, lookalike expansion, user signals, and audience features at massive scale. Collaborate with science, product, engineering, operations, design, and research teams to productionize models while supporting privacy, governance, security, and advertiser brand safety.

Lead AI-driven localization product initiatives from concept through production. Build strategic roadmaps, incubate machine-learning capabilities, partner with researchers and engineers, and deliver scalable tools for creators and content operations. Translate user needs into impactful products, communicate strategy to executives and nontechnical stakeholders, and use data, experimentation, and ML evaluation to prioritize work and measure outcomes.

Leads technical direction and multi-year strategy for Netflix’s Application Networking organization. Partners with engineering leads to shape architecture for globally scaled distributed systems, service-to-service communication, external traffic, identity, security, and access enforcement. The role addresses complex, ambiguous technical challenges, influences stakeholders across business units, contributes to open-source or industry standards, develops senior engineers, and communicates with engineering, product, and executive audiences.

Lead the strategic direction and evolution of Netflix’s company-wide Experimentation Platform. Establish rigorous causal inference and experimentation standards, automate trust and validation practices, consolidate fragmented systems, shape platform product roadmaps, and collaborate with data science and engineering leaders. Translate experimentation needs into scalable tools, influence adoption across teams, mentor colleagues, and ensure reliable experiment allocation, measurement, analysis, and reporting.

Leads a multidisciplinary operations organization delivering new Netflix content experiences, including live events, games, podcasts, and emerging formats. Establishes scalable workflows, playbooks, launch processes, risk controls, and contingency plans for global releases. Partners with Content, Product, Engineering, Marketing, and Experience Design while communicating with executives. Builds and develops program, launch, and creative operations teams, personally guiding ambiguous high-profile launches and transitioning successful processes to regional merchandising teams.

Develop long-range capacity forecasts and translate demand signals (bandwidth, storage, network) into actionable capacity plans. Run scenario and what-if analyses, monitor infrastructure performance, coordinate deployments, build modeling and automation tools, manage capacity risks, and collaborate cross-functionally to inform investment and scaling decisions for Open Connect Studio Infrastructure.

Build full-stack features and infrastructure analytics products to improve Netflix's cloud and AI efficiency. Design frontends (React/TypeScript), backend services/APIs (GraphQL/Node), shape data models, collaborate with analytics and data engineers, and own product direction from design through implementation.

Lead design and implementation of scalable data models and analytical tooling for Consumer Product. Partner cross-functionally to translate business needs into reliable SQL/Python data products, dashboards, and automated pipelines using engineering best practices (CI/CD, testing, version control, monitoring). Drive data-informed strategy and manage long-term infrastructure while supporting ad hoc requests.

Lead product strategy and roadmaps for games social platform features (multiplayer, sharing, chat). Drive end-to-end execution for backend systems and partner tooling, align cross-functional stakeholders, use experimentation and UX feedback to iterate, and partner with Trust & Safety, Legal, and Support to ensure a high-quality, trusted social experience.

Lead product strategy and execution for cloud gaming infrastructure, driving roadmaps, end-to-end projects, and infrastructure innovations. Optimize cloud compute, streaming performance, latency, storage, and developer tools to deliver high-quality game streaming. Collaborate cross-functionally, translate performance data into features, and improve developer workflows to enable scalable, performant game streaming experiences.

Lead product for Data Developer and Analytics Experiences, defining strategy, roadmaps, and delivery for SQL/Python authoring, semantic layer, developer tooling, visualization, governance, and GenAI integrations to improve productivity and reuse across Netflix analytics.

Build and maintain performant, accessible consumer-facing experiences for Netflix’s iOS app using Swift and GraphQL. Collaborate with product managers, designers, and engineers to scope projects, refine interfaces, develop shared infrastructure, and make architectural trade-offs. Teams may focus on client foundations, server-driven UI, advertising frameworks, or ad insertion. Responsibilities include writing robust maintainable code, automation, documentation, and supporting high-quality, scalable mobile experiences.