Top Tech Jobs & Startup Jobs in Seattle, WA

Own the strategy, roadmap, and lifecycle of Netflix Ads’ identity and audience onboarding platform. Lead development of identity graphs, APIs, advertiser integrations, partner ingestion, and identifier storage. Collaborate with engineering, science, design, sales, marketing, legal, and policy teams to launch scalable advertiser-facing products. Drive identity governance, privacy-forward data management, stakeholder alignment, and adoption across the advertising ecosystem.

Own the strategy, roadmap, and end-to-end delivery of Netflix’s CTV advertising billing and financial workflow products. Responsibilities include reconciliation, invoicing, revenue recognition support, dispute handling, AI-assisted automation, requirements definition, metrics, documentation, and cross-functional collaboration with Engineering, Finance, Sales, Ad Operations, and Design.

Own product vision and AI strategy for internal catalog management and content-understanding tools. Lead roadmap, incubate ML/LLM capabilities, collaborate with researchers and engineers, translate AI advances into scalable internal products, and measure impact through hypothesis-driven evaluation.

Build and scale Netflix Ads sales products, including advertiser data strategy, governance, go-to-market architecture, sales workflow automation, AI-powered agentic experiences, revenue reporting, and forecasting. Partner with sales, engineering, design, ad operations, marketing, strategy, policy, and legal teams to improve sales productivity and advertiser outcomes.

Own ads experimentation and incrementality measurement products for advertisers, agencies, and measurement partners. Partner with engineering, UX, data science, sales, legal, and other teams to define strategy, prioritize the roadmap, launch products, and drive adoption. Apply causal inference and experimentation methodologies, including A/B testing, conversion lift, brand lift, multi-armed bandits, search lift, and geo lift, while supporting Netflix’s advertising measurement ecosystem.

Design, build, and operate scalable, low-latency backend services for ad decisioning, targeting, pacing, and policy enforcement. Own APIs, data models, observability, capacity planning, incident response, and ensure platform reliability at massive scale while maintaining ad-tech domain expertise.

Design and build high-volume, low-latency Conversion APIs to ingest consented advertiser events (server-to-server, pixel, batch). Implement streaming architectures (Kafka/Flink), deduplicate and enrich identity/attribution data, enable measurement, optimization, retargeting and reporting while ensuring privacy, compliance, and cross-functional collaboration.

Design and build large-scale ad tech systems across inventory, serving, measurement, forecasting, identity, and campaign management. Drive architecture, set technical direction, collaborate with ad operations and cross-functional partners, and deliver high-performance, privacy-safe cloud services and data pipelines for Netflix Ads.

Design, build, and operate low-latency, high-QPS ML model serving and feature systems for real-time ad decisioning. Scale inference, ensure online/offline feature consistency, productionize ranking and scoring models, implement monitoring and simulation infrastructure, and partner with Data Science to validate and rollout models safely.

Build and operate large-scale Ads Identity Graph and Identity Resolution systems (deterministic and probabilistic) in batch and near-real-time. Integrate identifier collection flows, DSPs, programmatic platforms, and data clean rooms while enforcing privacy, consent, and data governance. Handle extremely large datasets with big-data tools like Spark and design high-throughput, low-latency distributed systems. Collaborate cross-functionally on ad-targeting, measurement, and privacy-preserving solutions.