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

Advise research and data teams on copyright, privacy, licensing, AI regulation, data governance, model launches, and responsible scaling. Counsel technical and research teams on publications, collaborations, data sharing, biosecurity, dual-use research, and regulatory readiness. Monitor global legal developments and translate them into practical guidance while engaging with regulators, academics, industry groups, and civil society on responsible AI norms.

Lead enterprise-readiness programs across product surfaces, coordinating security, compliance, identity, data governance, and spend-control capabilities. Establish planning cadences, readiness standards, dependencies, ownership, and leadership reporting. Drive cross-functional delivery, customer security reviews, regulatory requirement translation, and resolution of enterprise gaps. Partner with product, engineering, legal, compliance, sales, customer success, solutions, and support teams, particularly for regulated customers.

Lead US international tax planning from analysis through implementation, covering entity structuring, cross-border arrangements, M&A integration, tax modeling, technical memoranda, ASC 740, compliance coordination, transfer pricing, legislative developments, and IRS inquiries. Partner with Legal, Accounting, Treasury, and external advisors while managing multiple complex projects and communicating recommendations to non-tax stakeholders.

Design and run cybersecurity capability, uplift, and safety evaluations for AI models; test safeguard robustness before releases; analyze jailbreak and prompt-bypass data; develop cyber-abuse detection probes; build evaluation tooling; and collaborate with policy and engineering teams to improve abuse-detection architectures and safeguards.

Lead teams building Anthropic’s inference control plane and request path. Own fleet coordination, traffic routing, capacity placement, caching, scheduling, autoscaling, reliability, and performance across heterogeneous hardware and multiple clouds. Drive quantitative efficiency improvements, operational excellence, roadmap strategy, cross-functional alignment, hiring, team development, and organizational growth for critical production infrastructure.

Own and grow strategic pharmaceutical, biotechnology, and research accounts for Anthropic’s AI platform. Build C-suite relationships, develop business cases, manage complex enterprise sales cycles, exceed revenue targets, and coordinate product, solutions architecture, legal, partnerships, marketing, and customer success teams. Translate life sciences use cases across R&D, clinical development, and commercial workflows into deployments, expansions, product feedback, and scalable sales enablement.

Lead Anthropic’s investments and liquidity strategy, including external managers, money market funds, bank deposits, separately managed accounts, and direct fixed-income trading. Build capital planning frameworks, investment policies, trading infrastructure, custodian connectivity, SOX-ready controls, and CFO-level reporting. Apply AI to portfolio analytics, manager monitoring, compliance, forecasting, and executive reporting while coordinating with Finance, Legal, Accounting, Engineering, Data, and FinSys.

Own the vision, strategy, roadmap, and execution for a major area of Claude Science. Partner with scientists, research, engineering, design, policy, security, and go-to-market teams to improve AI capabilities, define scientific evaluations, launch products, support enterprise readiness, and prioritize workflows across biology, chemistry, physics, and other scientific fields.

Leads architecture, development, and optimization of global Order-to-Cash revenue systems. Builds DBT/SQL pipelines, automated revenue recognition and reconciliation workflows, ERP and billing integrations, and testing and deployment frameworks supporting ASC 606 compliance. Partners with Finance, Accounting, Data Infrastructure, and Engineering teams during high-volume operations and month-end close. Drives AI-enabled revenue automation, integration modernization, technical standards, and team mentorship.

Leads Anthropic’s societal harms policy design organization, managing teams focused on child safety, well-being, manipulation, election integrity, and related risks. Sets mitigation strategy across model policies, detection and enforcement systems, and product interventions; coordinates decisions across harm areas; prioritizes resources; handles high-severity escalations; and partners with research, engineering, product, legal, data science, external experts, civil society, and regulators.