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

Lead measurement and optimization for performance marketing: design experiments, build and deploy statistical and ML models (LTV, propensity, forecasting), evolve incrementality testing, develop ETL pipelines and dashboards, translate findings into actionable recommendations, and collaborate cross-functionally to drive user growth and marketing strategy.

Build and productionize ML systems for a CTV ad-buying platform: write production Python, train/deploy/monitor models for real-time bidding and optimization, develop incrementality measurement and attribution, use LLMs/generative AI for internal tools, and serve as a technical lead and mentor on a distributed team.

Lead technical strategy and long-term vision for configuration and coordination infrastructure. Architect control-plane interfaces, migrate legacy substrates, integrate coordination across deployments and regions, and enable safe rollout and governance for feature flags and ML config. Drive cross-team alignment, scalable onboarding, and AI-enabled design workflows while ensuring operational safety and accountability.

Lead escalation operations for Trust & Safety: develop policies, investigate high-priority cases using internal tooling and AI, resolve incidents cross-functionally, mentor teams, and improve processes while supporting rotating off-hour coverage and stakeholder communication.

Lead and deliver 0-to-1 Strategic Enablement initiatives for MC2: define problems, scope and sequence work, build blended learning curricula, coordinate cross-functional stakeholders, track success metrics, iterate processes, and embed AI to accelerate execution.

Lead company-level Ads & Monetization programs, align cross-functional teams, establish accountability and metrics, drive technical strategy and decision frameworks, embed AI into workflows, and mentor TPMs to deliver high-impact, complex initiatives tied to company OKRs.

Drive data-science for people- and business-facing products: establish experimentation and instrumentation best practices, apply statistical and ML methods to web-scale data, build scalable analysis pipelines, and partner cross-functionally to turn insights into product improvements.

Lead an engineering team to deliver mid-funnel ad products, drive AI initiatives, define technical roadmaps, and maintain team culture.

Serve as strategic compensation partner to Engineering and Product leaders: advise on offers, promotions, retention; run annual planning and equity cycles; build dashboards and automated reporting; analyze market and internal data (using AI tools) to inform competitive, equitable compensation programs; develop communications and training for stakeholders.

Lead and grow an engineering team building Pinterest Trends and Audience Insights into an AI-powered advertiser insights platform. Define roadmap, drive adoption and ad-spend impact, set technical standards for LLM capabilities, partner with cross-functional teams, hire and mentor senior engineers, and establish instrumentation, quality guardrails, and AI verification processes.