Top Tech Jobs & Startup Jobs in Seattle, WA

Lead design and execution of Netflix's advertising design system and core capabilities. Partner with central design system teams, research and define ads-related features (access, notifications, support), craft design briefs, and collaborate with engineers, product, data, and writers to build extensible React components and scalable workflows for global ad and live-streaming experiences.

Lead product development for Live event ad-serving infrastructure, handling unpredictable traffic, yield optimization across direct and programmatic demand, and cross-functional launches. Define metrics, iterate features, and partner with engineering, sales, ad ops, data science, and external partners to enable seamless Live ad delivery and drive advertiser outcomes.

Lead personalization product strategy and execution, partnering with ML scientists, engineers, designers, and research to improve recommendations. Define roadmap, prioritize experiments and evals, deliver consumer-facing ML products, and drive business impact across cross-functional teams.

Lead design and delivery of Ads Policy infrastructure: define architecture, governance, evaluation, and integrations for ad policy enforcement across campaign setup, creative review, serving, and reporting. Drive cross-team technical strategy, build scalable distributed systems, mentor engineers, and ensure operational excellence for production-critical ad systems.

Lead Pre-Sales and Revenue Management product strategy for Netflix Ads. Partner with sales, engineering, design, data science, and cross-functional teams to prioritize roadmap, launch revenue planning and inventory management products, leverage analytics to identify revenue opportunities, and drive adoption to maximize ad yield and monetization.

Build and own UI features for Netflix’s TV application across streaming sticks, smart TVs, and cable boxes. Collaborate with product, design, algorithm, and engineering teams to create and refine consumer experiences. Develop TypeScript and JavaScript features using React and Redux, optimize for performance- and memory-constrained devices, conduct A/B testing, and write automated tests using Jest-based frameworks.

Owns product operations for the Content Experience Innovation team, including operating rhythms, OKRs, QBRs, portfolio visibility, roadmaps, tooling, workflows, and leadership communications. Leads cross-functional innovation programs across Product, Engineering, Design, Content, and other teams, improving efficiency through scalable processes, AI, and automation. Partners with senior leadership to shape transformation initiatives and align product development with broader business goals.

Owns end-to-end human evaluation programs for Netflix recommendation quality. Partners with product, ML, data science, UX, engineering, and vendors to design evaluation frameworks, rubrics, metrics, and workflows. Manages annotation capacity, SLAs, costs, rater onboarding, calibration, quality assurance, and delivery timelines. The role also improves operational efficiency, resolves blockers, and translates recommendation strategy into scalable evaluation programs.

Build and maintain data models, pipelines, metrics, dashboards, and analytics supporting Netflix’s advertising identity graph, entity matching, and identity resolution systems. Evaluate match quality, coverage, graph stability, and data drift; collaborate with engineering, data science, product, and identity providers; and communicate technical insights and trade-offs to technical and non-technical stakeholders.

Lead ML initiatives to improve Sales productivity and automation: define roadmap, design and deploy production ML models and AI agents, build measurement pipelines with analytics engineers, iterate from performance and seller feedback, and act as senior technical partner across product, engineering, and Sales to drive measurable revenue impact.