Top Tech Jobs & Startup Jobs in Seattle, WA

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.

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.

Lead product vision and roadmap for Netflix Ads Laboratory Infrastructure to enable experimentation across supply and demand. Partner with engineering, data science, design, sales, ad ops, and legal to build scalable experiment lifecycle tooling, ensure high availability, self-monitoring, and data governance, and drive adoption while addressing privacy and regulatory requirements.

Lead technical direction and implementation for real-time ad decisioning and optimization: architect low-latency ML model serving, build pacing and budget-delivery systems, scale ad-serving infrastructure, enable simulation and testing frameworks, drive platform modularization, and own reliability, observability, and incident response across the ads optimization stack.

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.

Develop long-range capacity forecasts and translate demand signals (bandwidth, storage, network) into actionable capacity plans. Run scenario and what-if analyses, monitor infrastructure performance, coordinate deployments, build modeling and automation tools, manage capacity risks, and collaborate cross-functionally to inform investment and scaling decisions for Open Connect Studio Infrastructure.

Build and maintain low-latency, highly available distributed data systems and services to deliver high-quality data for product, analytics, and ML. Partner with data scientists and product teams to design scalable, observable, multi-tenant data products using batch and real-time processing frameworks. Ensure 24x7 reliability, monitoring, and operational excellence while owning end-to-end delivery.

Build and own internal data visualization web applications for content reporting. Partner with product, data scientists, and R&D to integrate multiple data sources, design intuitive charts, iterate on UX based on feedback, and surface metrics and predictive analytics for business stakeholders.

Design, productionize, and deploy machine learning forecasting models for ad inventory and campaign performance in low-latency, real-time advertising environments. Build scalable simulation, budgeting, and pacing systems; collaborate with cross-functional teams to deploy models at scale and optimize ad monetization.

Lead research and experimentation to measure ad campaign performance and effectiveness. Design evaluation frameworks, build measurement solutions, develop models for lift, conversion, and attribution, run experiments and analyses, partner with product/engineering/design/sales, present insights, mentor teammates, and foster technical community and culture.