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

Partner with engineering and cross-functional teams to define and measure infrastructure health, build metrics and dashboards, improve data foundations and pipelines, design experiments, run investigations into performance/reliability/cost, and translate ambiguous technical problems into actionable recommendations.

Lead development of ML training and serving infrastructure, improve developer experience, upgrade observability, scale Kubernetes+Ray deployments, mentor team members, and ensure reliable, secure production deployments for high-performance, low-latency systems.

Provide legal counsel to core product and engineering teams on generative AI, IP/copyright, open source, privacy, and safety. Embed with product teams to identify risks, design pragmatic mitigation, implement scalable legal processes, and drive AI-enabled automation to increase speed and consistency across product development.

Design and ship UI for Pinner activation flows (login, signup, conversion upsells). Collaborate with PMs, engineers, and data partners to run fast experiments, build and iterate product experiences across mobile and desktop, uphold design quality, and incorporate AI-powered tools to scale systems and cross-functional collaboration.

Drive end-to-end technical programs for ML/AI and infrastructure across research, engineering, and product. Coordinate cross-functional teams, manage trade-offs, run operating rhythms, evaluate experiments, track metrics, mitigate risks, and communicate status to leadership to deliver reliable, scalable systems.

Partner with corporate functions to discover AI automation opportunities, design end-to-end agentic AI solutions, build production-quality Python services with CI/CD, monitoring and guardrails, pilot and drive adoption, ensure responsible data handling, and create reusable components and documentation for enterprise AI workflows.

Lead cross-functional Search, Relevance, and Merchant ML/AI programs: define strategy, manage multi-stream technical delivery, measure search quality, mentor TPMs, scale headcount and roadmaps, and operationalize AI-first workflows and governance to improve search and shopping experiences.

Lead an engineering team building AI-driven growth products that improve content representation and top-of-funnel conversion. Own roadmap planning and execution, partner with product, design, analytics and ML teams, establish launch readiness and quality guardrails for AI features, and ensure measurable, responsible rollouts with the experimentation and data intelligence platforms.

Lead design and operation of identity resolution and data governance systems. Build batch and streaming pipelines, APIs, and tooling for identity ingestion, matching, lineage, quality, access controls, and privacy compliance (GDPR/CCPA). Collaborate with product, analytics, legal, and security to ensure privacy-by-design, monitoring, and documented runbooks.

Lead technical partner integrations and provide expert support for Pinterest APIs and business products. Own end-to-end engineering projects, on-call support, monitoring, tooling, and cross-functional partner relationships while mentoring junior team members and driving AI-driven automations.