Top Tech Jobs & Startup Jobs in Seattle, WA

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 Netflix's global Physical Identity and Access Management program: design and operate PIAM systems, set policies, manage access credentials, integrate AI/biometrics, audit compliance, centralize access logs, collaborate with HR/IT/IAM partners, shape technology roadmap, track PIAM metrics, and produce documentation and training. Requires global stakeholder engagement and ~25% travel.

Build and scale programmatic ad-serving systems and integrations for Netflix Ads. Design low-latency infrastructure, enable PG/PMP deal workflows, implement experimentation and reporting, collaborate cross-functionally to launch and troubleshoot programmatic offerings.

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.

Build and evolve a shared ads policy platform: authoring UIs, policy model and evaluation services, APIs, explainability, migrations from localized logic, and partner across product, policy, design, and engineering while mentoring teammates and owning end-to-end delivery.

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.

Lead research and development of generative AI and recommendation solutions for Netflix promotional assets and content discovery. Responsibilities include tracking LLM research, developing summarization and LLM-as-judge systems, training and evaluating models, optimizing generated content for audience impact, partnering with engineering teams, defining ML roadmaps, and communicating technical strategies to stakeholders.

Lead the Ads Signals & Measurement data engineering team across conversion and attribution, measurement foundations, audience onboarding, and identity. Set cross-organizational technical direction, resolve scalable data architecture decisions, mentor engineers, and partner on platform-wide initiatives. The role requires expertise in modern data stacks, advertising technology data flows, privacy and governance, distributed systems, and emerging AI technologies.

Own Talent’s knowledge governance strategy, taxonomy, information architecture, indexing, content lifecycle, and AI-readiness across a federated organization. Build standards, metrics, review rhythms, cross-business alignment, and AI-assisted content workflows. Partner with platform teams, guide business-unit adoption without direct authority, influence the Netflix Knowledge Platform roadmap, onboard additional business units, and establish the team needed to scale the function.