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Leads product strategy, discovery experiences, roadmaps, experimentation, and lifecycle delivery for Netflix’s emerging content formats. Partners across product, engineering, design, merchandising, consumer insights, and data science to identify opportunities, align stakeholders, launch features, measure impact, and iterate. The role focuses on creating unified experiences for content such as games, live events, sports, podcasts, and other emerging formats across Netflix platforms.

Netflix is hiring a Product Manager for its Compute organization. The provided posting contains no specific responsibilities or qualification details. Compensation is an annual salary ranging from $660,000 to $1,000,000, with flexibility between salary and stock options, plus comprehensive benefits.

Design and deploy production machine learning models and conversational AI agents that transform advertiser briefs into optimized media plans. Build evaluation systems to improve model and agent quality, collaborate across science and engineering teams, investigate ambiguous problems, and iterate using performance data and seller feedback. Communicate effectively with technical and non-technical stakeholders while contributing broadly across machine learning domains.

Own the strategy and roadmap for Netflix’s scaled content ingestion, publishing, and distribution systems. Build automated, API-driven platforms that reduce manual workflows, support partner onboarding, enable reliable content fulfillment, and accelerate global time-to-launch. Partner with engineering, operations, design, data science, and business teams to translate complex operational needs into durable product capabilities and prioritize investments across high-scale media workflows.

Build and operate infrastructure software for Netflix’s Open Connect CDN. Responsibilities include developing microservices, designing orchestration for globally distributed appliances, creating fleet data models and APIs, and improving platform availability, scalability, observability, and reliability. The role requires hands-on architecture, implementation, debugging, and collaboration across engineering, networking, video, gaming, and operations teams.

Lead the Compute Runtime team in building and operating Netflix’s large-scale cloud compute platform. Own Kubernetes data plane software, container runtime capabilities, container execution, and compute-node operating systems. Drive scalable, reliable, and efficient platform architecture, adoption, operational excellence, incident response, and cross-functional technical leadership. Guide technology strategy, evaluate emerging architectures and services, and contribute to open-source innovation.

Own the end-to-end development and launch of Sports product features across Netflix discovery and playback experiences. Partner with design, engineering, data science, marketing, content, and product teams to shape roadmaps, identify opportunities, define requirements, build business cases, run A/B tests, measure outcomes, and iterate. The role focuses on scaling live sports experiences, balancing complex tradeoffs, and driving alignment in an ambiguous, fast-paced environment.

Lead development and maintenance of internal design system libraries, tools, and Figma plugins. Implement AI solutions to speed design workflows, own medium-to-large features end-to-end, run internal user research, provide support and on-call coverage, conduct design and code reviews, and collaborate with designers and engineers to drive technical strategy and adoption.

Serve as Netflix Animation Studios’ founding data scientist, developing measurement frameworks, forecasting and scenario-planning models, dashboards, and data products for slate planning, production efficiency, workforce allocation, and strategic decision-making. Partner with studio leadership, data scientists, analytics engineers, and data engineers to establish data foundations, define metrics, analyze operational drivers, and translate complex findings into actionable recommendations.

Own security partnerships for Netflix Marketing and Animation, advising leaders on risk, GenAI adoption, access controls, content protection, architecture, and remediation. Lead risk assessments, business risk profiles, metrics, and pre-release content security initiatives. Support technical security due diligence for acquisitions and subsidiaries while translating complex security concerns into actionable business guidance across application, cloud, identity, and data domains.