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

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 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.

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.

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.

Build scalable, privacy-focused data frameworks and ETL pipelines using big-data technologies (Spark, Presto, Flink, Kafka, Hive). Ensure appropriate handling of personal data, support privacy and legal needs, partner cross-functionally, and lead system design while mentoring teammates.

Design, build, and own large-scale batch and streaming data pipelines and core Ads data products. Collaborate with analytics, data science, and engineering teams to model, transform, govern, and deliver high-quality ad datasets for analysis, ML, and reporting while ensuring privacy compliance.

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.

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.

Build reliable, scalable data pipelines and data products to surface security, fraud, and infrastructure risks. Use big-data technologies (Spark, Presto, Flink, Kafka) and advanced SQL to ETL, model, maintain datasets, and enable analytics for security teams. Partner cross-functionally and lead complex system design and implementation.

Build and maintain scalable data pipelines and data products to enable security and fraud detection. Implement ETL, data models, and distributed processing (Spark/Presto/Flink/Kafka) to centralize signals, support analytics and machine learning, and partner with security teams to improve detection and mitigation of fraud and account compromise.