Headquarters: Los Gatos, CA, US
Industry: Revolutionizing the way people watch TV shows and movies!
5001-10000 employees
You will evolve and innovate distributed data infrastructure by building scalable, fault-tolerant systems for batch processing and online data storage. You will also lead cross-functional initiatives and collaborate with engineers and product managers to solve complex data challenges at scale.
You will be responsible for building and refining gameplay systems across a diverse portfolio of game prototypes using Unreal Engine 5. This role involves driving feature areas end-to-end while collaborating with designers to ensure high-quality, performant, and maintainable code.
Design and implement machine learning-driven bidding algorithms to optimize ad performance metrics like Clicks, Conversions, and ROAS. Collaborate with product teams to define bidding objectives and measure the impact of algorithms on marketplace efficiency.
The Executive Producer will lead the production and strategic execution of a portfolio of games, ensuring high-quality outcomes and alignment with Netflix's goals. They will manage a team of producers, foster a culture of innovation, and serve as a key partner to the General Manager.
Lead a team of software and privacy engineers to develop and maintain privacy-protective features and tools that meet regulatory requirements. Partner with cross-functional stakeholders to integrate privacy solutions into the company's complex data ecosystem.
You will architect and expand core data products that scale the advertising business while collaborating with cross-functional teams to model data and develop large-scale processing solutions. You will also own critical portions of the ad data ecosystem and establish best practices for data governance and quality.
Develop and expand compute infrastructure to support large-scale AI and machine learning model serving. Collaborate cross-functionally with engineers, product managers, and research scientists to drive AI innovation across the platform.
Define and drive the machine learning technical roadmap for Live Ads in partnership with product teams. Architect and deliver scalable ML solutions for forecasting, targeting, bidding, and yield optimization.
You will lead the Member Innovation Data Engineering team by partnering with data scientists and product managers to guide projects from ideation to production. Additionally, you are responsible for building and developing a diverse, high-performing team through effective coaching and feedback.
The team is responsible for building and maintaining the foundational advertising account systems, including data modeling, hierarchy management, and automated attribution. You will design and implement scalable, high-performance services to support advertiser identity, eligibility, and transaction processing.
You will design and develop Netflix Conversion APIs and Audience Onboarding systems to power critical measurement, optimization, and reporting capabilities. The role involves building high-volume, low-latency services to ingest consented user engagement events from advertiser properties in near-real-time.
Design and develop innovative machine learning solutions for promotional assets and content discovery. Lead end-to-end ML development, including research, model training, and integration into business applications.
Drive large, cross-team programs across the Hawkins design system ecosystem by defining scope, milestones, and sequencing. Coordinate platform adoption across TV, mobile, and web surfaces while ensuring alignment between design, engineering, and product teams.
Design, build, and operate a core agent primitive end-to-end, including runtime, SDK, memory, and security layers. Drive technical direction for agent infrastructure while ensuring reliability and scalability for production-grade systems.
The Product Manager will lead the strategy and execution of social features for Netflix games, including multiplayer, chat, and sharing capabilities. They will drive cross-functional alignment and develop roadmaps to enhance member-to-member relationships and engagement.
You will own the end-to-end developer experience for ML practitioners by designing and operating build, test, and CI/CD infrastructure. Additionally, you will lead and grow a team of engineers while partnering with ML researchers to identify and remove workflow friction.
You will own the orchestration services, CLI tools, and device fleets that power large-scale test execution for the Netflix TVUI platform. This role involves instrumenting systems deeply and driving strategic investments in test infrastructure to mitigate risk across a diverse device ecosystem.
The role involves designing and developing innovative machine learning solutions, specifically focusing on generative models and recommender systems to enhance content discovery. You will lead end-to-end ML development, from research and model training to integration into business platforms.
Design and implement AI-augmented gameplay systems by integrating Generative AI with core game architecture. Collaborate with designers to prototype interactive experiences while developing logic layers to ensure safe and balanced AI-generated content.
Design and build scalable, reusable data curation infrastructure and LLM-driven transformation pipelines to replace ad-hoc workflows. Partner with researchers to implement quality-control methods and measure the impact of data curation choices on model performance.
You will lead the strategic direction and modernization of Netflix's Compute Platform to support AI, agentic workloads, and diverse business needs. This involves managing GPU capacity, optimizing fleet efficiency, and creating a seamless, scalable infrastructure experience for internal teams.
The Product Manager will lead compute-related initiatives to support Netflix's global entertainment mission. This role involves merging creativity and cutting-edge technology to drive product innovation.
Develop and execute measurement frameworks to quantify the impact of GenAI and media creation innovations on operational efficiency. Partner with product managers and business teams to design metrics and build analytical tools that inform global content production strategy.
The Product Manager will lead new product initiatives and transform the Kids profile ecosystem by driving roadmaps for content discovery and interactive features. They will execute end-to-end projects while collaborating across Content, Games, and Technology teams to create engaging experiences for children.
You will define the AI/ML investment roadmap for the Sales pod and build production-ready ML models and AI agents to automate sales workflows. You will also partner with cross-functional teams to measure performance and drive measurable business impact through data-driven solutions.
You will lead analytics initiatives across media planning and campaign management tools while partnering with cross-functional teams to surface risks and opportunities. Additionally, you will own the end-to-end development of metrics and tools to drive data-informed decisions for Ads Demand.
Design and deploy production machine learning models and conversational AI agents to optimize advertiser media plans. Collaborate with cross-functional teams to iterate on model performance and improve decision quality based on data and feedback.
You will be responsible for building, testing, and deploying robust features for the consumer-facing help center while collaborating with cross-functional teams. The role involves participating in an on-call rotation and utilizing a platform mindset to manage massive end-user traffic and vendor integrations.
Design and implement machine learning and optimization algorithms to improve ad quality, performance, and marketplace health. Partner with product teams to define optimization objectives and communicate technical results to stakeholders.
The Senior Design Program Manager will optimize Enterprise XD operations and workflows to enable high-quality design at scale. They will drive complex creative pipelines, manage strategic roadmaps, and foster cross-functional partnerships to ensure alignment with business outcomes.
Drive early-stage, high-ambiguity programs for generative AI and discovery experiences from concept through production. Coordinate cross-functional teams and external partners to align on technical requirements, milestones, and delivery.
You will build and maintain full-stack products to optimize Netflix's cloud and AI infrastructure, including web applications, backend services, and data tooling. You will collaborate with data and analytics engineers to design data models and implement features that improve infrastructure efficiency and AI productivity.
You will design and implement platform solutions to accelerate the model development lifecycle, including creation, evaluation, and deployment. You will collaborate with applied researchers and data scientists to identify pain points and evolve the AI platform infrastructure.
Data engineers at Netflix build and maintain efficient systems to process and model data across various business domains. They collaborate with cross-functional teams to power analytics, product features, and machine-learning models.
You will architect and build robust, scalable, and highly available distributed infrastructure to support Netflix's data platforms. You will also lead cross-functional initiatives and collaborate with engineers, product managers, and technical program managers to solve complex business needs.
The Research Scientist will apply machine learning and modeling techniques to improve ad targeting and identity matching for Netflix's ad-supported tier. They will also collaborate with cross-functional teams to deliver data-driven insights and influence product strategy.
The Creative Director will define a cohesive vision for Netflix Games and guide titles from initial concept through production and live operations. They are responsible for establishing creative goals, providing actionable feedback, and scaling creative efforts across a portfolio vertical.
The Integration Engineer will own the end-to-end architecture and reliability of the Talent (HR) integrations ecosystem, specifically connecting Workday with internal platforms. This role involves leading design, implementation, and vendor management while ensuring high standards for observability and system performance.
Develop and execute long-range infrastructure capacity strategies to ensure platform scalability, efficiency, and resilience. Collaborate with cross-functional teams to translate demand signals into actionable capacity plans and drive strategic investment decisions.
Design, develop, and operate high-leverage managed compute services while driving operational excellence across the infrastructure. Collaborate with cross-functional teams to anticipate customer needs and ensure the reliability and scalability of internet-scale cloud platforms.
You will build and prototype supervised machine learning models to predict campaign delivery outcomes, replacing existing simulation engines. You will also partner with ML engineers to deploy these models at scale while ensuring they are explainable to non-technical stakeholders.
You will lead the development and maintenance of Netflix's design platform, including component libraries and productivity tools. Additionally, you will collaborate with cross-functional teams to implement AI solutions and drive the technical strategy for design tooling.
The role involves setting the technical direction for user understanding within the ads organization by leveraging multimodal signals and LLM techniques. You will partner with ranking and bidding teams to integrate these signals into production while shaping the company's data strategy.
You will design performance-focused UI architectures to support Netflix's TV platform and enable a new generation of streaming experiences. You will also collaborate with cross-functional teams to scale software solutions for hundreds of millions of users across diverse TV devices.
Lead a team of backend engineers to develop and innovate highly resilient authorization platforms for streaming, Ads, and Games products. Provide technical vision and strategy while building strong relationships across product, data science, and security teams.
The role involves leading the technical roadmap for reward modeling, utility estimation, and multi-objective optimization systems. You will drive cross-functional partnerships to align AI/ML capabilities with business priorities and validate system impact through rigorous experimentation.
You will build and maintain workflows for tagging content and managing the global entertainment catalog to enhance member discovery. Additionally, you will design and launch immersive experiences while collaborating cross-functionally to deploy features end-to-end.
Define and own core metrics for infrastructure cost, usage, and efficiency while pioneering frameworks to measure the productivity impact of AI tooling. Build dashboards and narratives to communicate efficiency insights to stakeholders ranging from engineers to senior executives.
The role involves managing teams responsible for user data management and consent, ensuring compliance and reliability across data pipelines and storage. You will define the multi-year technical vision for first-party user data while partnering with cross-functional teams to navigate complex regulatory environments.
You will lead the Agent Platform team to define the technical strategy, roadmap, and execution environment for agentic systems at Netflix. This involves building scalable infrastructure, making strategic build-versus-partner decisions, and fostering a high-performing engineering team.
Design and implement security primitives for streaming protocols and edge appliances to ensure efficient and secure content delivery. Collaborate with cross-functional teams to translate business goals into technical security requirements and perform vulnerability research.
The Senior Program Manager will prioritize and manage GenAI workstreams while driving the adoption of AI tools across the Netflix Games organization. They are responsible for aligning cross-functional teams, defining KPIs, and translating complex technical goals into actionable project roadmaps.
The Head of Cinematography will architect the camera language and visual style while directing character staging to ensure high-quality narrative flow. They will also lead the layout team in integrating traditional animation workflows with emerging GenAI tools to scale production capabilities.
Lead a platform engineering team focused on building paved paths, self-service tools, and workflows for TV application development. Foster strong relationships with product, design, and engineering partners to scale capabilities and improve developer experience.
The Product Manager will own and manage a portfolio of enterprise products, leading strategy and roadmaps for internal collaboration tools. They will collaborate cross-functionally with engineering, design, and operations to deliver scalable, intuitive solutions that improve employee and support-agent productivity.
The analytics engineer will steward ads Quality of Experience (QoE) by managing instrumentation, monitoring, and telemetry from user devices to high-visibility dashboards. They will collaborate with engineering and data teams to develop new measurement methods and ensure data effectiveness across the organization.
Define and drive the product vision for scaled content ingestion and distribution systems to automate workflows and reduce manual effort. Partner with engineering, design, and operations teams to translate business needs into a prioritized product roadmap and strategy.
You will design and build identity and access security solutions for Netflix's global population of employees, contractors, and partners. The role involves collaborating with internal engineering teams and external vendors to integrate and improve identity capabilities across various business verticals.
You will design and execute rigorous A/B tests and causal inference frameworks to optimize messaging strategies across various channels. Additionally, you will build scalable data pipelines, dashboards, and automated workflows to support data-driven decision-making for the Messaging team.
Design and evolve scalable architectures to streamline revenue financial workflows and handle massive data processing. Collaborate with product managers and cross-functional teams to build highly configurable pipelines for financial functions like settlement and reconciliation.
You will design and execute rigorous A/B tests and causal inference analyses to evaluate product interventions within the Interactive Discovery team. Additionally, you will build scalable measurement frameworks and translate complex statistical findings into actionable product recommendations.
As the Group Tech Lead, you will partner with engineering leads to define multi-year product and technical strategies for the application networking organization. You will architect the communication backbone that connects services, devices, and partners while ensuring secure and scalable traffic management.
Design and build a next-generation ML data and feature platform to improve practitioner productivity and model performance. Operate and manage high-throughput feature computation pipelines and serving infrastructure for various ML domains.
The Product Manager will lead AI-driven strategic initiatives to transform localization tools and content operations. They will build product roadmaps, collaborate with cross-functional teams, and integrate machine learning models into production systems.
Lead the end-to-end development and deployment of AI/ML models while partnering with cross-functional teams to integrate solutions into business platforms. Drive research roadmaps and communicate complex technical concepts to stakeholders to enhance content discovery experiences.
Lead a team of distributed systems engineers to develop a high-throughput, low-latency platform for personalized content assets. Collaborate with cross-functional teams including machine learning, product management, and design to drive innovation and business impact.
Architect and build maintainable, performant Android client code while defining best practices for the SDUI framework. Collaborate with cross-functional partners to drive technical roadmaps and mentor less-experienced engineers.
You will design, build, and operate robust distributed systems to support Netflix's global content production and enterprise workflows. Additionally, you will mentor other engineers, lead incident reviews, and drive technical strategy across cross-functional teams.
You will serve as the founding data scientist for Netflix Animation Studios, constructing the roadmap for data products that integrate finance, production, and people data. You will also develop scenario planning models and dashboards to empower leadership in slate planning and operational forecasting.
The Product Manager will own the end-to-end execution of new features for the sports content slate, including discovery and playback experiences. They will collaborate with cross-functional teams to drive product strategy, launch new features, and measure impact using data-driven insights.
The engineer will design and deploy advanced machine learning models for ad targeting, identity resolution, and contextual signals. They will collaborate with cross-functional teams to build scalable, low-latency infrastructure that powers Netflix's advertising platform.
You will set the technical direction and design coherence for the entire Ads Data Engineering organization while partnering with leadership to bridge technical strategy with business priorities. Additionally, you will mentor engineers and define the future of AI-native data engineering within the ads domain.
You will serve as a senior security advisor for Customer Service and Creative Technology, building stakeholder relationships and providing actionable security guidance. Additionally, you will lead security risk assessments, oversee GenAI/GenMedia security, and support technical due diligence for M&A activities.
The Business Security Partner will serve as a senior advisor for Marketing and Animation units, translating complex technical risks into actionable business guidance. They will lead security risk assessments, oversee GenAI tool adoption, and support technical security due diligence for M&A activities.
The Senior Manager will lead the SRE team to define reliability standards and support streaming architecture. They will also drive engineering accountability through governance and cross-functional partnerships to mitigate systemic failures.
Develop and maintain highly scalable, cloud-based media encoding infrastructure to support workflow orchestration and metadata management. Collaborate with cross-functional teams to elevate system performance and support diverse media formats across streaming, ads, and broadcast.
The role involves designing and implementing strategic cloud security boundaries and scalable identity management solutions across AWS and GCP. You will collaborate with engineering teams to build security tooling, perform threat assessments, and establish secure-by-default blueprints for cloud resources.
You will lead the Compute Runtime team in driving engineering excellence and innovation for Netflix's internet-scale cloud infrastructure. This involves managing the Kubernetes data plane, container runtimes, and underlying operating systems to ensure high reliability and efficiency.
You will design and implement orchestration and microservices to manage a globally distributed CDN platform. The role involves building APIs and data models to ensure the reliability, scalability, and efficiency of Netflix's streaming infrastructure.
The Technical Program Manager will drive high-impact, cross-functional programs across AI and infrastructure platforms to ensure scalable and reliable engineering operations. They will act as a strategic partner to engineering and product leaders, translating complex technical portfolios into executable plans with clear milestones.
The Data Scientist will establish the data science capability for Netflix Animation Studios by constructing roadmaps for analysis, models, and data products. They will partner with leadership to define metrics, conduct slate analysis, and build scenario planning models to optimize production and operational decision-making.
You will own the end-to-end execution of new features for the sports content slate, driving workstreams from problem framing through launch and measurement. You will also collaborate with cross-functional teams to shape the strategic roadmap for live events and sports discovery.
The Business Security Partner will serve as a senior advisor for Marketing and Animation teams, translating complex technical risks into actionable business guidance. They will lead security risk assessments, oversee GenAI tool adoption, and support technical due diligence for M&A activities.
You will design and evolve scalable architectures to streamline revenue financial workflows and handle massive data for global operations. This involves building highly configurable pipelines for ad integration, settlement, and cash reconciliation in collaboration with cross-functional teams.
You will architect and operate Tier-0 services for Netflix's membership and monetization platform, managing global pricing and catalog infrastructure. You will also collaborate with cross-functional teams to build commerce experiences and participate in on-call rotations for production reliability.
The Business Security Partner will serve as a senior security advisor for Customer Service and Creative Technology, building stakeholder relationships and providing actionable security guidance. They will lead security risk assessments, manage GenAI/GenMedia security posture, and support technical security due diligence for M&A activities.
You will design and execute rigorous A/B tests and causal inference models to optimize messaging strategies across various Netflix channels. Additionally, you will build scalable data pipelines and automated dashboards to provide actionable insights for cross-functional partners.
Lead the end-to-end development and deployment of AI/ML models while partnering with cross-functional teams to integrate these solutions into business applications. Drive research roadmaps and communicate complex technical concepts to influence strategic decisions across the organization.
You will lead the development of the JavaScript platform, defining interfaces and building automation to streamline software delivery across Netflix. This role involves owning core application development workflows, CI/CD pipelines, and developer tooling to enhance the daily experience of engineers.
You will design and build identity and access security solutions for Netflix's global workforce and partners. The role involves managing the identity lifecycle, partner integrations, and ensuring compliance across various business verticals.
You will define and drive the product strategy and roadmap for the Core Discovery area to help members easily find and engage with content. This involves collaborating with cross-functional teams including engineering, data science, and design to build scalable solutions across all platforms.
Architect and build maintainable, performant Android client code and tooling to support Netflix's server-driven UI (SDUI) framework. Collaborate with cross-functional teams to define architectural roadmaps and mentor less-experienced engineers to ensure high-quality, scalable solutions.
The Systems Analyst will administer and optimize the global Workforce Management platform while collaborating with cross-functional teams to ensure system reliability. They are responsible for validating data integrity, providing technical support, and managing system configurations to support operational efficiency.
Build state-of-the-art UI features for the Netflix TV application while optimizing for performance and memory-constrained devices. Collaborate with cross-functional partners to scope projects and validate user experiences through A/B testing.
You will design and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various channels. Additionally, you will build scalable data pipelines, dashboards, and automated workflows to support data-driven decision-making for the Consumer Messaging Program team.
The Senior Manager will partner with Product and Technology leadership to develop and execute global compensation strategies. They will provide analytical insights, lead strategic initiatives, and ensure compensation programs remain competitive and aligned with business goals.
The AI Research Scientist will design and develop innovative machine learning solutions, specifically focusing on generative models and recommender systems to enhance content discovery. They will lead end-to-end ML development, including research, model training, and evaluation, while partnering with cross-functional teams to integrate these models into business applications.
Lead the Ads Signals & Measurement team to build a cohesive data ecosystem covering conversion, attribution, and identity resolution. Set technical direction, mentor engineers, and partner with cross-functional teams to scale data products across the organization.
You will own and manage a portfolio of enterprise products, leading product strategy and roadmaps for internal support tools like Slack, Zendesk, and Jira. You will collaborate cross-functionally with engineering, design, and operations to deliver scalable, secure solutions that improve employee and agent productivity.
Design, build, and operate observability, evaluation, and tooling subsystems to support next-generation AI/ML architectures. Drive cost optimization and reliability improvements across the AIMS AI/ML stack to ensure operational excellence.
You will design and own the content governance strategy, taxonomy, and AI-readiness for Talent's knowledge estate. Additionally, you will partner with subject-matter experts to build scalable, metrics-driven workflows that ensure content is discoverable and accurate.
You will set the technical direction and design coherence across the entire Ads Data Engineering organization to ensure scalable and connected data products. You will also partner with leadership to bridge technical strategy with business priorities while mentoring engineers to foster technical growth.
You will design and operate robust, scalable platform products including frontend widgets and backend services to support global content production workflows. You will also lead cross-functional initiatives, mentor junior engineers, and drive operational excellence through incident response and reliability improvements.
You will be responsible for crafting multimedia experiences that blend motion, audio, and visuals to amplify the Netflix brand across various product surfaces. This involves collaborating with cross-functional teams to prototype high-fidelity concepts and define scalable visual design systems that align with business goals.
Design and execute rigorous machine learning experiments to improve promotional content and title discovery. Lead end-to-end development of ML models while collaborating with cross-functional teams to integrate solutions into business platforms.
The Lead Games Title Product Manager will build and manage cross-portfolio product operating systems to improve execution speed and consistency across gaming verticals. They will also partner with data and finance teams to define KPI frameworks and provide strategic support to priority game teams during launches and major updates.
You will own and manage a portfolio of enterprise products, leading product strategy and roadmaps to improve employee productivity and support experiences. You will collaborate cross-functionally with engineering, design, and operational teams to deliver scalable, secure, and intuitive solutions.
Lead a team of data scientists and analytics engineers to shape measurement and innovation strategies for content distribution. You will own end-to-end outcomes for insights and partner with cross-functional teams to drive business impact through data-informed decision-making.
The role involves owning the analytic data layer and building self-service data products to monitor cloud gaming infrastructure performance and capacity. You will partner with engineering teams to turn telemetry into actionable insights and drive resource prioritization.
You will design, build, and operate robust, scalable distributed systems to support Netflix's global content production and enterprise workflows. Additionally, you will mentor other engineers, lead incident reviews, and drive technical strategy across cross-functional teams.
Develop and maintain highly scalable, cloud-based media encoding pipelines to support workflow orchestration and metadata management. Collaborate with cross-functional teams to elevate system infrastructure for diverse media formats including streaming, ads, and broadcast.
Build state-of-the-art UI features for the Netflix TV application while optimizing performance on memory-constrained devices. Collaborate with cross-functional partners to scope projects and validate user experiences through A/B testing.
The role involves owning the end-to-end strategy for acquiring, deploying, and retiring global hardware infrastructure assets. You will translate complex demand signals into actionable fleet plans while partnering with engineering, finance, and supply chain teams to optimize performance and costs.
The Visual Design Lead will build immersive design systems for live events and direct creative vision from initial sketch to final output. This role involves leveraging emerging technologies and AI to enhance visual quality while ensuring technical excellence across multiple production streams.
Lead a team of distributed systems engineers to develop a high-throughput, low-latency platform for personalized content assets. Collaborate with cross-functional teams including machine learning, product management, and design to drive innovation and business impact.
Design and develop analytic tools and systems to monitor the performance and accountability of machine learning algorithms across promotional media and marketing workflows. Partner with cross-functional teams including ML engineers and data scientists to translate creative requirements into measurable objectives and automated data solutions.
Design and build scalable infrastructure for machine learning model training, fine-tuning, and evaluation workflows. Optimize distributed training systems for performance, cost-effectiveness, and ease of use for ML practitioners.
The Solutions Support Engineer will monitor and resolve customer requests while developing automation tools and runbooks to improve support efficiency. They will also act as a bridge between the developer community and the Productivity Engineering team to advocate for product improvements and usability.
Lead and grow a team of AI research scientists and engineers to develop and optimize homepage construction and title ranking algorithms. Drive the technical vision and roadmap while partnering with product management to translate member experience goals into scalable machine learning solutions.
The engineer will build and deploy advanced machine learning models for ad targeting, identity resolution, and contextual signals. They will collaborate with cross-functional teams to productionize these models at scale within a high-performance advertising ecosystem.
The Product Manager will lead AI-driven strategic initiatives to transform localization tools and content operations. They will collaborate with cross-functional teams to integrate machine learning models and build scalable, user-centric products.
You will serve as the Group Tech Lead for the Application Networking organization, setting multi-year product and technical strategy across various business verticals. You will architect and operate the communication backbone that connects services, devices, and partners at global scale.
The engineer will debug complex issues across Python applications and platform integrations while building tooling to improve developer workflows. They will partner with platform teams to turn recurring technical pain points into scalable, high-quality platform capabilities.
You will build and maintain the infrastructure that supports Netflix's large-scale machine learning and AI systems. This involves working closely with modeling teams on model-system codesign to optimize training, inference, and serving platforms.
The scientist will design and develop innovative machine learning solutions, specifically focusing on generative models and LLM-based evaluators. They will lead end-to-end ML development and partner with cross-functional teams to integrate these models into business applications.
Design, build, and maintain scalable Android features and infrastructure that support Netflix's global member experience. Partner with cross-functional teams to scope projects, weigh technical trade-offs, and modernize the existing codebase.
Collaborate with product and engineering teams to build performant, accessible consumer-facing experiences using Swift and GraphQL. Develop maintainable, scalable code while partnering with product management and design to refine UI specifications and architectural trade-offs.
Lead the development of unified, AI-native data developer and analytics experiences, including workflow orchestration and practitioner tooling. Partner with engineering and design teams to define product strategy, drive adoption, and ensure platform scalability and reliability.
The role involves prioritizing the GenAI team's workstreams and driving the adoption of AI tools across the Netflix Games organization. You will manage cross-functional programs, define KPIs, and translate complex technical goals into actionable project plans.
You will be responsible for ideating, building, testing, and deploying robust features for the consumer-facing help center. The role involves collaborating with cross-functional teams and external vendors to deliver scalable, end-to-end solutions while participating in an on-call rotation.
Lead the user understanding charter by leveraging multimodal signals and LLM techniques to build a foundation for ad targeting, ranking, and bidding. Partner with cross-functional teams to define data strategy and implement rigorous evaluation frameworks for production ML systems.
Design and implement machine learning and optimization algorithms to improve ad quality and performance within the ad marketplace. Partner with product teams to define optimization objectives and communicate technical results to stakeholders.
Design, develop, and operate high-leverage managed compute services while driving operational excellence across the infrastructure. Collaborate with cross-functional teams to build scalable, reliable, and efficient cloud-based solutions that meet business needs.
You will design, build, and operate robust, scalable distributed systems to support Netflix's global content production workflows. Additionally, you will mentor other engineers, drive technical strategy, and participate in on-call rotations to ensure operational excellence.
Build state-of-the-art UI features for the Netflix TV application while optimizing for performance and memory-constrained devices. Collaborate with cross-functional teams to scope projects and validate user experiences through A/B testing.
You will design performance-focused UI architectures for the Netflix TV platform to support hundreds of millions of users. You will also collaborate with cross-functional teams to enable new technology integrations and improve the developer experience for over 70 engineers.
You will orchestrate live operations by managing complex production schedules, budgets, and technical workflows for premium live broadcasts. Additionally, you will lead on-site graphics integration and act as the primary operational liaison between creative teams, tech partners, and external vendors.
You will own the end-to-end integration architecture between Workday and the Talent ecosystem, defining standards for data contracts and system reliability. You will also lead the design, implementation, and observability of these integrations while managing vendor delivery and technical performance.
You will design and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various Netflix channels. Additionally, you will build and automate data pipelines and dashboards to provide actionable insights for cross-functional partners.
Define and execute the long-term technical strategy for Platform Systems, focusing on reliability, scalability, and AI stack modernization. Lead and scale a high-performing engineering team while setting standards for observability, reliability, and developer productivity across the organization.
Design, implement, and operate high-impact machine learning models to drive member growth and monetization. Collaborate with cross-functional teams to translate business intuition into scalable, production-ready data-driven solutions.
Lead and grow a high-performing team of Machine Learning Scientists, Data Scientists, and Analytics Engineers to optimize ad bidding and pacing strategies. Act as a strategic partner across product and engineering teams to define and execute the technical roadmap for Netflix's ad-supported tier.
Data Engineers at Netflix build and maintain systems to process data efficiently while modeling it to power analytics and machine learning models. They collaborate with business, engineering, and data science teams to curate data across various domains and enable a culture of learning.
You will build and maintain workflows for tagging content and managing the global entertainment catalog to enhance member discovery. Additionally, you will design and launch immersive experiences while collaborating cross-functionally to deploy features end-to-end.
Design and implement foundational security primitives for Netflix's content delivery network and streaming protocols. Collaborate with cross-functional teams to optimize cryptographic layers and develop host-side resilience against traffic-based threats.
You will define and own core metrics for infrastructure cost, usage, and efficiency while pioneering frameworks to measure the productivity impact of AI tooling. Additionally, you will build dashboards and narratives to communicate efficiency insights to stakeholders ranging from engineers to senior executives.
Apply advanced machine learning and modeling techniques to solve complex business problems related to ad-tier identity and audience targeting. Collaborate with cross-functional teams to deliver scalable data solutions and provide strategic insights that influence product direction.
Drive early-stage, high-ambiguity programs for generative AI product experiences and new interaction modalities from concept to production. Coordinate across engineering, applied science, and external partners to set milestones, manage dependencies, and ensure successful delivery.
The role involves leading the technical roadmap for reward modeling, utility estimation, and multi-objective optimization within the Member Systems team. You will drive cross-functional partnerships and design rigorous experiments to validate the impact of AI systems on business and member-experience metrics.
You will design, develop, and deliver scalable software solutions to support global finance and tax operations. You will also collaborate with cross-functional business stakeholders to identify requirements and ensure end-to-end project success.
Define and evolve the security architecture for the edge and gaming compute stack, ranging from hardware interfaces to operating systems. Implement security enhancements and drive platform integrity through measured boot, improved access controls, and automated vulnerability research.
You will build and operate robust, scalable platform products and messaging infrastructure to support global content creation workflows. You will also mentor junior engineers and drive technical alignment across cross-functional teams to ensure operational excellence.
You will build and prototype supervised machine learning models to predict campaign delivery outcomes, replacing existing simulation engines. Additionally, you will partner with ML engineers to deploy these models at scale while ensuring they are interpretable for sales and media-planning stakeholders.
The Senior Design Program Manager will optimize Enterprise XD operations and workflows to ensure high-quality design delivery at scale. They will drive complex creative pipelines, manage strategic roadmaps, and foster cross-functional collaboration across design, product, and engineering teams.
The role involves troubleshooting and resolving engineering support requests while developing automation tools to improve developer productivity. You will partner with engineering teams to advocate for customer needs and maintain high-quality technical documentation.
You will provide hands-on technical leadership for systems that define, govern, and evaluate advertising policies across the Netflix ecosystem. You will shape long-term architecture and lead complex, cross-functional initiatives while remaining hands-on with code and design.
You will own the end-to-end developer experience for ML practitioners by designing and operating large-scale build, test, and CI/CD infrastructure. You will partner with researchers to identify workflow friction and implement tooling that improves engineering velocity and operational efficiency.
You will lead the Agent Platform team to define the technical strategy, roadmap, and execution environment for agentic systems at Netflix. This involves making critical build-versus-partner decisions and fostering a high-performing team to build durable, scalable platform primitives.
You will build and ship full-stack features for infrastructure cost and usage tooling, including interactive web applications and backend services. You will also partner with data and analytics engineers to design data models and launch products for analyzing AI productivity and cloud efficiency.
You will design measurement frameworks and marketplace tools to balance competing demands on Netflix's discovery surfaces. Additionally, you will partner with product and engineering teams to define metrics and drive research from concept to implementation.
Lead and grow a team of AI research scientists and engineers to develop and optimize page construction or title ranking models. Partner with cross-functional teams to set technical vision, drive infrastructure decisions, and ensure a coherent personalization experience for members.
Design and maintain scalable data models to serve as the source of truth for the Consumer Product team. Partner with cross-functional stakeholders to translate complex business requirements into high-impact technical data solutions.
Lead product initiatives to transform the Kids profile ecosystem, focusing on content discovery and interactive play within Netflix Playground. Drive near-term roadmaps and execute end-to-end projects by aligning stakeholders across Content, Games, and Technology organizations.
Lead the strategy and execution of the games social platform, focusing on multiplayer, chat, and sharing experiences. Collaborate with cross-functional teams and game partners to build back-end systems and a trusted environment for members.
Lead the development of cloud compute capabilities and infrastructure to enable high-quality, frictionless game streaming. Drive near-term roadmaps and execute end-to-end projects to optimize backend technology and developer workflows.
Lead a team of Account Managers to execute pre-to-post sale campaigns and partner with Sales Managers to maximize revenue in Germany. Develop efficient workflows and collaborate with cross-functional teams like Ad Ops and Product to scale the advertising business.
Develop long-range infrastructure capacity strategies and forecasts to ensure seamless service and platform scalability. Collaborate with cross-functional teams to translate demand signals into actionable investment and deployment plans.
Lead the end-to-end strategy for acquiring, deploying, and retiring global hardware infrastructure to ensure optimal capacity. Collaborate with engineering, finance, and supply chain teams to translate demand signals into actionable fleet plans and TCO reductions.
Lead a team of backend engineers to build and scale resilient consumer authorization platforms for streaming, ads, and games. Provide technical vision and strategy while managing relationships across product, data science, and security partners.
Lead the User Data & Consent subdomain by managing engineering managers and senior ICs to ensure reliable and compliant data collection and storage. Develop a multi-year technical vision for managing first-party user data and consent at scale while mitigating compliance risks.
Own the product strategy and execution for a portfolio of first-party and third-party talent technology systems. Partner with engineering and design to build scalable, AI-driven experiences that support the full employee lifecycle.
Serve as the centralized authority for scaling language standards by translating brand guidelines into machine-readable rules for human writers and AI agents. Own the taxonomy, terminology schemas, and structural encoding of language specifications within the design system.
Architect and operate Tier-0 services for Netflix's commercial source of truth, managing global product catalogs and subscription transactions. Tackle complex distributed systems challenges including race conditions and throughput optimization to support global revenue.
Lead the strategy, architecture, and engineering team for Netflix's cloud gaming infrastructure, including the Game OS and transport layers. Drive technical and economic innovation to deliver low-latency gameplay at scale while managing significant hardware investments.
Lead the technical vision and strategy for off-platform and evidence personalization, focusing on GenAI-powered messaging and asset creation. Drive cross-functional partnerships to design and ship scalable production ML systems that increase member engagement and revenue.
The role involves translating ambiguous needs into clear experience visions and scalable design systems for new content experiences like livestreams and podcasts. The designer will partner with cross-functional leaders to shape product strategy and advocate for global members.
Lead the creative vision for a key portfolio vertical within Netflix Games from initial concept through live operations. Collaborate with teams to develop prototypes and scale creative efforts into full production while maintaining high craft excellence.
Lead the development and maintenance of the Design Platform and component libraries to accelerate product design workflows. Collaborate with cross-functional partners to drive the adoption of the Design System and implement AI-driven productivity tools.
Design and develop innovative ML solutions to enhance promotional writing and content discovery for Netflix members. Lead end-to-end development from research and model training to integration into business platforms.
Design and build scalable, reliable, and cost-efficient distributed systems for the Open Connect Control Plane to optimize global content delivery. Develop high-scale services, data pipelines, and operational tools to ensure high quality-of-experience for Netflix members.
Design and build scalable, highly available distributed infrastructure for Netflix's data platform, focusing on storage and movement. Collaborate across teams to develop shared primitives for fleet management, security, and reliability to optimize data services at scale.
Lead the technical direction and architecture of a high-throughput, low-latency ad-serving platform. Focus on optimizing core execution paths, managing tail latencies, and building modular components for ranking, scoring, and auction mechanics.
Lead the development and execution of the programmatic sales strategy for Netflix in the Switzerland market. Drive revenue growth by building strategic partnerships with major agency holding groups and C-level client contacts.
Lead the development and execution of the programmatic sales strategy for Netflix in the Austrian market. Build and maintain strategic relationships with major agency holding groups to drive revenue growth and secure ad partnerships.
Design and implement the user interface layer for Netflix's AI Platform to accelerate model creation, evaluation, and deployment. Collaborate with researchers and data scientists to build scalable ML infrastructure and gather requirements for various ML use cases.
Drive the strategic roadmap for privacy and data protection products to ensure responsible data use at scale. Partner with engineering, legal, and business teams to build tools for data governance, consent management, and privacy-enhancing technologies.
Provide creative guidance and actionable feedback across design, art, audio, and narrative teams to ensure high-quality game development. Align creative priorities and ensure the correct representation of Netflix and external IP within game adaptations.
Define and drive the ML technical roadmap for Live Ads, focusing on forecasting, targeting, and yield optimization. Collaborate across teams to architect and deploy large-scale ML solutions that improve ad quality and performance.
Define and drive the product strategy and roadmap for core discovery to help members easily find and engage with content. Collaborate with engineering, data science, and design to build scalable solutions across TV, mobile, tablet, and web platforms.
Design and run experiments, build prototypes, and contribute to projects involving agentic AI, LLM evaluations, and multimodal data. Translate novel research ideas into measurable improvements for Netflix member experiences.
Drive large-scale, cross-functional programs for the Hawkins design system across TV, mobile, and web platforms. Coordinate between design, client, and server engineering to ensure consistent UI delivery and platform adoption.
Lead end-to-end quantitative research studies to understand consumer perceptions, value, and willingness to pay for commerce products. Synthesize data from multiple sources to provide strategic insights that inform global growth and business decisions.
Drive the product strategy and evolution of discovery experiences for emerging content types like podcasts and live streaming. Act as the connective tissue between Product, Tech, Content, and Production to ensure a unified platform experience.
Create high-fidelity visual and product designs across TV, mobile, and web surfaces to enhance Netflix's brand and user experience. Collaborate with multidisciplinary teams to build immersive, story-driven interfaces and scalable design systems.
Lead the Member Innovation Data Engineering team in partnership with Data Scientists and Product Managers to support product innovation. Responsibilities include guiding projects from ideation to production, recruiting top talent, and coaching employees through regular feedback.
Design, build, and operate the access experience layer and integration services for Netflix's core access control infrastructure. Develop APIs, SDKs, and self-service workflows to enable internal teams to implement secure access consistently.
Design and implement a self-serve user interface layer for Netflix's Machine Learning Platform to accelerate model creation and deployment. Collaborate with researchers and data scientists to evolve Metaflow and improve personalization model development.
Design and operate the Agent SDK and MCP Gateway to enable Netflix engineers to build and deploy production-grade AI agents. Establish evaluation frameworks, tracing, and quality signals to ensure the reliability and performance of non-deterministic AI systems.
Design and build a next-generation ML data and feature platform to improve productivity for ML practitioners. This includes developing near-real-time feature computation engines and centralized feature and embedding stores for high-throughput training and low-latency inference.
Lead the technical vision for AI/ML to automate sales workflows and deploy AI-augmented selling tools. Partner with product and engineering teams to build production models that increase sales productivity and revenue.
Design and scale machine learning solutions to enhance personalization and member experiences at Netflix. Collaborate with cross-functional teams to move algorithms from concept to production in large-scale real-time systems.
Lead the SRE function to set company-wide reliability standards and support the streaming architecture. Collaborate with cross-functional teams to eliminate systemic failures and translate technical data into business risk for executives.
Design and implement strategic cloud security boundaries and scalable solutions for account and identity management across AWS and GCP. Collaborate with engineering teams to enable new business verticals and develop internal tooling to reduce operational risk.
Architect and build AI infrastructure and agentic workflows to transform software development and operational processes. This includes creating a centralized context layer and automating the full development lifecycle from code generation to incident triage.
Design and develop Netflix Conversion APIs and Audience Onboarding systems to power measurement and optimization. Build high-volume, low-latency services for ingesting consented user engagement events in near-real-time.
Design and implement ML-driven bidding algorithms to optimize ad performance metrics like Clicks, Conversions, and ROAS. Collaborate with product teams to align auction mechanisms and pricing with business goals and revenue objectives.
Lead the SRE function to set company-wide reliability standards and support the streaming architecture. Focus on implementing AI-driven operations, resilience governance, and cross-functional partnerships to eliminate systemic failures.
Design and develop Netflix Conversion APIs and Audience Onboarding systems to power measurement, optimization, and reporting. Build high-volume, low-latency services to ingest consented user engagement events in near-real-time.
Rebuild the account data model and build an enrichment layer to manage advertiser and agency structures. Develop automated attribution engines and identity verification systems to scale the Netflix Ads platform.
Lead the Member Ad Experience team to optimize ad delivery policies and quantify their impact on member experience using causal inference and predictive models. Hire and grow a high-performing team of ML scientists and data scientists while collaborating with product and engineering partners to drive business growth.
Build and maintain large, web-scale datasets to improve member experience and support machine learning algorithms. Drive innovation in big data processing by developing data products and frameworks in partnership with algorithm teams.
Design and implement machine learning and optimization algorithms to enhance ad quality, performance, and yield within the ad marketplace. Collaborate with product teams to define business objectives and communicate technical results to stakeholders.
Lead a team of software engineers to develop and maintain privacy-protective tools and features that meet regulatory requirements. Partner with leadership to execute a consumer-centric approach for data collection, consent, and privacy controls across a complex data ecosystem.
The Technical Director will own all technical aspects of the project, including architecture, system design, and the establishment of scalable engineering practices. They will also lead, mentor, and hire a world-class engineering team while collaborating with studio leads to ensure alignment between creative and technical goals.
You will build and operate robust, scalable, and highly available infrastructure to support content creation workflows at a global scale. The role involves collaborating with cross-functional teams and participating in on-call rotations to ensure operational excellence.
Engineers will develop and expand compute infrastructure to support growing AI needs, enabling ML application in new business areas and driving innovation across Netflix. This role involves powering business-critical models and taking ML/AI initiatives to the next level through cross-functional partnerships.
This role involves leading the development of agentic systems, internal sandboxing tools (UIs/APIs), and high-fidelity demos to accelerate learning and adoption of the in-house Member LLM. The leader will provide technical direction while remaining hands-on, bridging model development with downstream application by exposing foundation models for exploration.
The role involves evolving and innovating Netflix's data infrastructure and building scalable, highly available distributed systems. Engineers will collaborate across teams to solve complex challenges and contribute to open source communities.