Top Tech Jobs & Startup Jobs in Seattle, WA

Build AI-augmented gameplay and interactive storytelling systems using generative AI. Integrate LLMs and diffusion models with game engines, behavior trees, narrative systems, and world-building tools. Develop guardrails for safe, balanced, on-theme content; create tools that accelerate prototyping and playtesting; and troubleshoot AI interactions with deterministic game logic. Partner closely with designers to deliver fun, high-quality player experiences with low-latency performance.

Lead research and end-to-end development of machine learning solutions involving LLMs, generative models, summarization, LLM-based evaluation, and recommendation systems. Translate advances in generative AI into business applications, optimize generated content for member impact, partner with engineering and ML teams, define technical roadmaps, and communicate complex concepts to stakeholders.

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.