This role focuses on the adoption and support of GenAI tools within an enterprise setting, acting as a subject matter expert for IT support and identity management. The specialist will curate Help Center content, analyze support data, and collaborate with various teams to improve user experience with technology, including GenAI productivity tools. While not directly building AI models, the role heavily involves supporting and optimizing the use of AI tools for the enterprise workforce.

Product Manager for Netflix's Messaging Enablement Platform (MEP), focusing on tools, workflows, and platform capabilities for internal teams to create, manage, and optimize member messages across various channels. The role involves defining strategy, roadmap, and collaborating with engineering, design, and data science to build a scalable and flexible platform. Requires strong technical acumen, stakeholder management, and experience with internal enablement platforms. The role actively leverages AI tools for prototyping and workflow acceleration.

Software Engineer 5 role focused on building an AI-first, autonomous quality platform for global payment and checkout experiences at Netflix. The role involves defining E2E testing strategies, architecting GenAI tools for automation and failure prediction, generating synthetic test data, and integrating test coverage with system observability. Requires expertise in automation architecture, modern web automation tools, and understanding distributed systems.

This role focuses on optimizing supplier operations and workflows within Netflix, with a key emphasis on leveraging AI technologies and intelligent agents to drive efficiency and improve processes. The specialist will be responsible for designing and implementing AI-driven improvements, managing supplier risk, ensuring compliance, and collaborating with engineering teams. While AI tools are mentioned as a means to achieve operational excellence, the core function is not the direct development or research of AI models, but rather the application of AI to existing business processes.

Netflix is seeking a Distributed Systems Engineer to build and scale the core infrastructure for their ad tech ecosystem, focusing on real-time ad decisioning, ML model serving, and optimization systems. The role involves working across the stack from model serving to auction execution and pacing, shipping production systems that directly impact revenue and advertiser outcomes.

Full-stack engineer to build internal tools and dashboards for ad decisioning stack, focusing on observability, debugging, and monitoring of ML model serving, auction mechanics, and campaign delivery.

Manager for Enterprise Data Science & Engineering team focusing on measuring AI's impact on enterprise productivity and ensuring data health. This role involves leading a team, partnering with stakeholders, and owning the roadmap for enterprise data products.

Product Manager role at Netflix focused on Content Intelligence, driving product initiatives that use data and AI to support content decision-making. The role involves understanding content teams' workflows, translating business needs into requirements, and exploring AI-powered capabilities to surface insights and reduce friction.

Netflix is hiring an Associate, Production Finance in Mexico City to support Managers and cross-functional teams in the financial execution of productions. This role involves tactical management, basic financial analysis, and operational coordination, ensuring consistency, control, and compliance across production processes. The associate will process funding, monitor budgets, conduct variance analyses, manage internal financial systems, and prepare financial materials. The role requires experience with Movie Magic Budgeting, PSL, Google Sheets, and workflow automation tools, with an active adoption of AI tools for analysis and efficiency.

Manager for Netflix's Ads Identity and Signals team, focusing on developing Identity Science capabilities and extracting signals for ad optimization models. This role involves leading ML Scientists and Data Scientists to drive business use cases like ad measurement, attribution, targeting, and ad ranking/bidding systems.

Netflix is seeking Compositors to join their Inkubator team, focusing on creating animated shorts and specials using experimental GenAI-native production pipelines. The role involves integrating generative AI outputs with CG renders, 2D elements, and other sources into polished, cohesive shots using Nuke and adjacent tools. Responsibilities include collaborating with filmmakers and artists, applying compositing skills, contributing to look development, and documenting workflows. Experience with stylized animation and a familiarity with Generative AI imagery are important, with opportunities to build workflows and refine best practices for hybrid compositing.

Security Engineer specializing in Generative AI (GenAI) Security for workforce-facing initiatives, focusing on third-party solutions like low-code/no-code agents and RAG enterprise search. Responsibilities include identifying and mitigating GenAI threats, evaluating third-party GenAI products, developing hardening guides, performing technical validation (threat modeling, pen testing), prototyping security automation tools, and conducting build-vs-buy evaluations.

This role is for a Systems Administrator focused on optimizing operational efficiency through workflow automation, system streamlining, and API integrations for enterprise applications at Netflix. While the role involves using and understanding generative AI tools and concepts, its core function is not building AI models but rather integrating and managing systems that may leverage AI.

Software Engineer L5 to own and evolve automated CI/CD and validation infrastructure for Netflix's Open Connect edge appliances, ensuring security, reliability, and performance. The role involves improving failure triage with AI-assisted tooling and leading engineers.

This role focuses on designing and executing experimental frameworks for Netflix's ads business, developing predictive algorithms, and optimizing marketplace dynamics. It involves transitioning from manual analysis to scalable, automated solutions and applying advanced causal inference and machine learning techniques to drive business decisions and global expansion. The role is considered AI-related due to the use of ML and causal inference, but the primary output is an experimentation platform and business insights rather than core AI model development.

This role focuses on building intelligence and data-driven insights to address fraud and enhance consumer product security at Netflix. The engineer will analyze patterns, identify new signals for anomaly detection, and develop data solutions for fraud prevention, leveraging expertise in security and fraud prevention.

Netflix is seeking an Analytics Engineer to support the Legal organization, focusing on metrics, analytic tools, and analyses for Legal operations. The role involves partnering with various teams to design metrics, develop analytic tools, build and evaluate models, and perform analyses. A key aspect is rethinking workflows to leverage AI and LLMs to unlock decision-making for Legal teams managing worldwide legal engagements. The role requires expertise in SQL, Python, data visualization, and hands-on experience with AI coding tools. Bonus points for experience building ML models or designing LLM/agentic workflows.

Staff Product Designer for Netflix Games, focusing on discovery experiences across TV, Web, and Mobile. This role involves shaping product strategy, design leadership, and defining discovery frameworks. The designer will collaborate with senior leaders, drive large-scale initiatives, and mentor other designers. Experience with data science and experimentation is valued, and the role involves exploring new tools, including AI.

Machine Learning Scientist role at Netflix focused on building and productionizing forecasting models for subscription revenue, ARPU, and member base. The role involves scenario modeling, contributing to the forecasting pipeline, and partnering with business leaders to translate model outputs into recommendations. Requires expertise in time series and regression methods, production systems, Python, SQL, and ML libraries.

Staff-level Software Engineer for Netflix's Evidence Engineering team, focusing on building and operating large-scale, low-latency distributed systems for real-time asset delivery and personalization. The role involves technical leadership, platform evolution, and collaboration with ML scientists and product teams to enhance customer-facing experiences.

This role supervises production for animated shorts and specials using experimental GenAI-native pipelines, managing schedules, tracking, and workflows that blend generative AI with traditional tools. The Production Supervisor ensures projects stay on budget and schedule, supports artists in using new workflows, and collaborates with tech teams to refine processes and tools for feature-quality content creation.

Software Engineer 5 role focused on maturing and expanding Research platforms, data products, and frameworks at Netflix. The role involves leveraging software and data engineering skills to build scalable, performant, and maintainable systems that support quantitative and qualitative researchers. Key responsibilities include designing and building distributed infrastructure, developing integrations with data platforms and experimentation systems, and enabling data scientists by creating scalable methods and utilities. The role requires proficiency in SQL, Python, or Spark, experience with data pipelines and cloud platforms, and an understanding of privacy-preserving techniques. A strong emphasis is placed on observability and owning the solutions built.

Software Engineer 4 on the N-Tech Systems Engineering team at Netflix, responsible for developing internal solutions to streamline employee productivity and enhance the overall employee experience. The role involves designing, developing, and maintaining scalable, high-performing full-stack applications, including integrating AI and GenAI responsibly to solve enterprise problems.

This role focuses on resource planning and scheduling for a global customer service workforce, utilizing traditional WFM principles and incorporating Generative AI for insights and automation. The specialist will create and optimize labor requirements and schedules across a multi-channel, multi-lingual vendor network, analyze data, and partner with vendors to align staffing plans.

Netflix is seeking a Senior Data Scientist for its Games DSE team to lead experimentation, modeling, and advanced data science initiatives. The role involves partnering with product and cloud gaming stakeholders to drive data-informed decisions by building ML models, conducting statistical analysis, and deriving business insights. The Data Scientist will also lead experiments, develop ML models to enhance player experience, and communicate insights to technical and non-technical stakeholders.

Senior Data Scientist role at Netflix Games DSE team, focusing on experimentation, statistical modeling, causal inference, and advanced data science to drive data-informed decisions in game development and product strategy. The role involves partnering with stakeholders, leading experiment design and analysis, advancing audience understanding, performing data exploration, driving projects end-to-end, and presenting insights.

Product Manager to drive innovation within the Data Movement Platform, focusing on storage, retrieval, movement, and processing of data. The role involves defining strategy, advancing engine and abstraction layers, and leveraging GenAI to simplify user experience and support agentic applications.

Senior Software Engineer responsible for developing and innovating the Design Platform at Netflix, focusing on accelerating the product design lifecycle through AI solutions, leading projects from ideation to implementation, and setting long-term technical strategy.

Netflix is seeking a Security Software Engineer to innovate in agentic identity and build foundational services for GenAI use cases, focusing on identity provisioning, secret management, mTLS, and secure SSH access within their cloud infrastructure.

The Principal Product Manager, Payment Platform, leads the evolution and scaling of Netflix’s global payments infrastructure. This pivotal role ensures our platform remains robust, flexible, and ready to support high transaction volumes, new business models, and rapid market growth. You will set the vision and strategy for the platform, drive technical and operational excellence, and partner across the organization to enable seamless, secure, and innovative payment experiences for all Netflix members and business lines.

Producer for Netflix's Inkubator team, leading short-form content creation using Generative AI and emerging technologies. This role involves balancing creative ambition with production milestones, managing schedules and budgets, and guiding small teams to implement GenAI into workflows. The Producer will evaluate tools, oversee documentation of GenAI workflows, and identify opportunities for templating and automation.

Technical Program Manager for Netflix's Studio Production Engineering team, focusing on driving cross-functional programs related to studio infrastructure and Generative AI/ML platforms. The role involves leading programs for foundational studio infrastructure, integrating third-party software, and scoping/leading Generative AI/ML initiatives, including productionizing new AI platform capabilities and accessing LLM APIs. Requires strong collaboration with product, engineering, and data science to execute strategic technology programs.

Senior Product Designer for Netflix's Observability team, focusing on designing intuitive interfaces for internal developer tools to improve troubleshooting and reduce "time to insight" in complex cloud environments. The role involves shaping the user experience for telemetry platforms, including logs, metrics, and traces, with a focus on AI-assisted troubleshooting and complex data visualization.

Netflix is seeking a General Program Manager (L5) to lead Developer Education and Enablement, focusing on enhancing how engineers learn, ship, and leverage AI in their daily work. The role involves designing and delivering global learning programs, managing technical training and documentation, and creating analytics to measure developer productivity. The ideal candidate will have experience with GenAI tools and a track record of enabling teams to create training content.

Netflix is seeking an Engineering Manager for their Data Platform Orchestration team. This role will lead a team responsible for building and operating a reliable, cost-efficient, and easy-to-use orchestration platform that powers Netflix's analytics and machine learning workflows. The platform includes Maestro, a next-generation workflow orchestration system, and is investing in higher-level abstractions like ETL frameworks and GenAI-powered remediation. The manager will drive vision, strategy, and adoption, build and grow a team of engineers, and ensure the platform's stability, performance, and efficiency.

This role focuses on supporting creative technology systems and operations within Netflix's studios, with a specific emphasis on improving the AI-enhanced technology experience for the creative workforce. The specialist will develop and evolve QA processes for AI-driven agentic support, create self-help resources, and use data to reduce friction in user experiences. While not directly building AI models, the role is deeply involved in the application and operationalization of AI for support and workflow optimization.

Staff Product Designer for Netflix's Content Intelligence team, focusing on designing AI-driven experiences to aid content decision-making. This role involves strategic design, cross-functional collaboration, and shaping the design system for enterprise content business tools.

Senior Manager to lead a Data Engineering team focused on building and operating multi-modal data foundations (text, metadata, image, video, audio) for ML and GenAI model development and evaluation within Netflix's Content Promotion & Distribution ecosystem. The role involves managing a heterogeneous team of Data, Software, and ML Engineers, partnering with cross-functional leaders, and providing technical vision for data products supporting analytics, experimentation, and ML at scale.

Netflix is seeking a Senior Data Scientist for Infrastructure Experimentation to build and maintain ML models that predict the infrastructure cost impact of A/B experiments. This role involves partnering with engineering teams to measure, model, and surface infrastructure impact, enabling more holistic decisions that balance member impact with infrastructure performance. The ideal candidate has experience in experimentation, causal inference, and applied ML within the infrastructure domain.

Full Stack Software Engineer at Netflix to integrate AI/LLM capabilities into enterprise employee-facing applications. Responsibilities include designing and implementing AI-powered features, building backend services, and collaborating with cross-functional teams to launch UIs that operationalize workflows at scale.

Netflix is building an in-house ad tech ecosystem and is looking for an Analytics Engineer to join the Ads Ranking team. This role will focus on designing and implementing data models and pipelines, developing metrics and dashboards, analyzing data to optimize ad delivery and revenue, and enabling A/B testing. The role also involves developing monitoring solutions for ML models and experimenting with Generative AI solutions.

Netflix is seeking a Senior Data Scientist to drive foundational research in member value, focusing on causal inference and experimentation to understand member engagement with content and interaction types. The role involves developing new metrics, experimentation strategies, and measurement frameworks to guide product decision-making and influence strategy within a collaborative environment.

Product Manager for Netflix Ads Developer Experience, focusing on building an AI-native platform with APIs optimized for LLMs and autonomous agents. The role involves defining the vision for ad-tech programmability, launching a developer portal, empowering developers with tools, and driving discovery and documentation.

Netflix is seeking a Technical Program Manager with Ads domain experience to drive high-impact cross-functional programs in the Ads space. This role involves leading complex programs, defining technical strategies, managing roadmaps, and ensuring successful delivery of technical solutions, including ads decisioning systems and ML optimization engines.

Netflix is seeking UI Engineers to build a Design System from the ground up for their Commerce business domain. The role involves developing React-based UI components, leveraging TypeScript/JavaScript and modern CSS frameworks. A key aspect is developing AI-driven tools to enhance development workflows and the efficiency of design system users. The role also includes strategy, roadmap definition, and collaboration with design and product teams to drive adoption across web and TV platforms.

Netflix is seeking a Full Stack Software Engineer to work on Member Experience Core Systems, focusing on personalization, search, and discovery. The role involves building foundational platforms, ML-driven recommendation engines, and developing tools to improve developer experience and support studio partners. The engineer will collaborate with cross-functional teams, enhance user interfaces, and incorporate GenAI tools for developer productivity.

This role focuses on integrating Generative AI technologies into Netflix's production workflows, partnering with filmmakers and creative professionals to explore how AI can enhance storytelling. The manager will assess team readiness, guide AI adoption, ensure compliance, and translate field learnings into practical guidance and scalable education. The role requires hands-on experience with AI-based image and video production and proficiency in industry tools.