Top Tech Jobs & Startup Jobs

Design and implement machine learning and optimization algorithms for the ad marketplace; build, train, and evaluate large-scale production models; develop online and offline evaluation frameworks; partner with product on objectives and trade-offs; communicate results to stakeholders.

Provide high-level administrative support to FP&A VPs and Directors: complex calendar management, meeting coordination across time zones, travel and expense management, event and off-site planning, presentation/document preparation, team communications, and ad-hoc project support while maintaining confidentiality and anticipating executive needs.

Lead vision, strategy, and execution for the Ads Targeting Platform, architecting audience and contextual signal ingestion, taxonomy, normalization, and storage. Partner with engineering, data science, sales, and GTM to enable forecasting, media planning, and campaign activation. Prioritize roadmap, govern signal quality and compliance, shape GTM packaging, and align stakeholders to drive advertiser outcomes and scale.

Design, build, test, deploy, and operate end-to-end full-stack tools and infrastructure for device automation. Improve developer feedback loops, troubleshoot issues across the stack, and drive testing and automation strategies to ensure high-quality Netflix experiences on smart TVs and set-top devices.

Build and maintain device automation and infrastructure for smart TVs and set-top devices. Drive testing strategies, improve developer experience, implement CI/CD, analyze metrics to increase test efficiency and stability, and lead large cross-functional projects leveraging automation, AI, and data-driven approaches.

Lead development of new plan tiers and features, define roadmap, build business cases, and measure impact. Collaborate with design, engineering, data science, pricing, and consumer insights to ship and iterate product innovations that balance global scale with local relevance. Author strategy memos and present to senior leadership.

Lead creative vision and player experience across a portfolio of Netflix Games from concept through live operations. Collaborate with cross-functional teams to prototype, scale into production, launch, and iterate. Establish creative goals, give actionable feedback, and foster experimentation and craft excellence to deliver memorable, retention-focused games.

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.

Research and develop foundational image and video generation/editing models, prepare and curate training data, build efficient distributed training/data-loading infrastructure, and design evaluation benchmarks and cross-team evaluations to integrate models into Netflix production workflows.