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

Own end-to-end data and RL environment strategy for domain-specific knowledge work. Source and evaluate tasks and vendors, design rewards and QA to prevent reward hacking, run generalization experiments, and partner with RL research and product teams to improve model capabilities.

The Commercial Counsel will draft and negotiate commercial agreements, support Go-to-Market teams, and manage legal risks while staying updated on AI developments.

Lead design and operation of the end-to-end build, test, merge, and deploy pipeline. Reduce push-to-production latency, build AI-assisted review, improve test reliability, enable progressive rollout and automated rollback, shape CI and repo topology, and partner cross-team on platform, security, and delivery infrastructure.

Lead ownership of developer environments: optimize container lifecycle and cold-start times, design isolation models, build pre-push validation, and partner across platform teams to improve engineers' inner loop, using AI-assisted workflows.

Lead investor engagement and narrative with Head of IR; build relationships with institutional investors; draft investor-facing messaging; represent Anthropic in investor meetings; advise leadership on investor sentiment; track AI/tech developments; manage cross-functional initiatives; prepare executives for investor conversations; build scalable IR systems, templates, and processes.

Build and operate production data and planning systems to track, attribute, and forecast compute capacity and cost. Develop ingestion pipelines into BigQuery, observability tooling, and Kubernetes-native scheduling/placement features. Drive efficiency programs, reconcile multi‑provider billing, and produce actionable capacity plans. Collaborate across research, infrastructure, inference, and finance; own SLOs, on-call, and product-quality data surfaces.

Own full sales cycle for strategic cybersecurity accounts, drive multi-million dollar expansions of Claude and Claude Code across security product and internal use cases, engage C-suite and technical teams, coordinate technical scoping and custom deployments, navigate security evaluations and compliance, inform product roadmap, and develop cybersecurity-specific go-to-market playbooks.

Build and own validation, CI/CD, and launch infrastructure for LLM inference across cloud providers. Integrate inference features, catch regressions with correctness and performance checks, analyze observability, and reduce merge-to-production time while working cross-functionally with CSP partners.

Lead a team of Enterprise Account Executives to drive AI adoption, secure strategic deals, and develop sales strategies while mentoring staff and collaborating with cross-functional teams.

Design and implement RL environments and evaluations to enable agentic RTL generation and chip design automation. Optimize EDA tool latency and proxy rewards, run experiments, shape roadmap, and deliver research into production training runs while collaborating across teams.