Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and operate low-latency, highly available distributed data systems and services to deliver high-quality data products that power ML models and product experiences. Partner with data scientists and product teams, design scalable multi-tenant systems, ensure observability and operational reliability, and enable self-service data access.

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.

Design, develop, and scale software systems for machine learning algorithms powering personalization. Collaborate with researchers and product teams to implement production-ready, distributed solutions, enable offline experiments and A/B tests, and improve engineering practices and systems across teams.

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.

Lead content design for acquisition across Mobile, Web, and TV: write persuasive, on‑brand copy, develop scalable language systems, collaborate with product/design/engineering/research, and design/run experiments from ideation through execution.

Senior individual-contributor engineering leader responsible for defining technical and architectural direction for Growth Engineering, modernizing systems, building scalable, highly available consumer-facing platforms, partnering with cross-functional teams, mentoring engineers, and driving experimentation and A/B testing integration.

Lead design and execution of scalable experimentation frameworks for Netflix Ads. Develop auction-based, biddable media models, solve cold-start measurement problems globally, apply causal inference and ML, partner with product and engineering, and translate analytic results into strategic recommendations to optimize marketplace dynamics and member experience.

Lead end-to-end, cross-team programs for Netflix's Hawkins design system; define scope and milestones, manage dependencies and risks, drive cross-platform adoption, align design and engineering partners, and create lightweight processes to deliver scalable UI foundations.

Build and operate Tier-0 Pricing, Catalog, and Offers services powering Netflix commerce for 330M members. Design and implement product-facing features and platform infrastructure, solve distributed systems problems (consistency, race conditions, throughput), partner cross-functionally, and own production reliability including on-call incident response.

Lead and grow a data science team focused on consumer acquisition, signup flows, login, and partner bundles. Drive analytics, experimentation, causal inference, and machine learning to inform strategy, run A/B tests, scale insights, and deliver measurable business impact across cross-functional partners.