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

Lead and build an Influence Operations & Surveillance threat intel team to detect, investigate, attribute, and disrupt state-linked information manipulation and surveillance misuse. Hire and manage investigators, develop automated detection (abuse signals, clustering, coordinated-network detection), conduct cross-platform attribution, engage external partners, and drive public and partner-facing reporting to inform safety-by-design.

Manage product direction for human data tooling, collaborating with engineering and research teams to enhance AI model data quality and collection processes.

Lead technical direction and hands-on development of an accelerator-agnostic inference runtime. Own architecture, performance, scheduling, memory management, validation (canary/shadow/rollback), and cross-accelerator abstractions. Drive integrations with compilers, build systems, and infra, mentor engineers, and coordinate prioritization across serving, scaling, and accelerator teams to ensure efficient, reliable inference at scale.

Lead a global startup partnerships team to drive adoption of Anthropic's AI platform (Claude). Build and scale partner ecosystems with accelerators, VCs, and regional partners, manage P&L and pipeline, recruit and develop distributed teams, and coordinate cross-functional GTM efforts while navigating regulatory and local market dynamics.

Lead cross-functional quote-to-cash programs end-to-end: own planning cadence, manage dependencies across CPQ/ERP/billing/provisioning, drive SOX readiness, coordinate engineering, finance, legal, and GTM teams, and deliver prioritized roadmap and status to leadership.

As part of the Data Science and Analytics team, the Data Scientist will drive data-informed decision making and improve developer productivity by analyzing metrics, conducting causal analyses, and presenting actionable insights to stakeholders.

Design, build, and operate Anthropic's managed caching platform: a scalable Redis fleet, client libraries, CDC-driven cache invalidation, multi-cloud deployments, observability, and tooling. Drive technical direction, optimize latency/hit rates/cost, partner with product and research teams, and make build-vs-buy decisions for caching infrastructure.

Lead cross-team planning and delivery for recruiting technology, owning roadmap, dependencies, integrations across third-party platforms and internal tooling, vendor evaluations, governance, and connecting recruiting to company-wide headcount and roadmap planning. Drive technical integrations (APIs, data flows) and partner with engineering and AI teams to embed Claude and trustworthy human-in-the-loop controls. Define long-term TPM model for the People organization.

Lead design, implementation, and operation of Anthropic's database platform to support millions of users and research workloads. Architect scalable, multi-cloud storage, caching, and data-movement (migrations, backfills, CDC) systems, optimize performance and cost, and partner with product/research teams. Drive build-vs-buy decisions and lead large infrastructure projects to ensure reliability during rapid growth.

Design and run mixed-methods studies measuring capability growth with AI; build and validate measurement instruments and tooling; run experiments and analyses; translate findings into product, curriculum, and model improvements; collaborate cross-functionally and communicate results through writing, prototypes, and presentations.