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

Own end-to-end procurement operations for research teams, managing high-volume requests, contracts, purchase orders, vendors, receiving, accruals, invoice issues, and month-end accuracy. Partner with Legal, Security, Finance, Accounting, and Accounts Payable to establish purchasing processes for new programs, maintain controls, support audits, and improve intake and workflows through automation and AI.

Own the operating P&L and near-term forecast for Anthropic’s datacenter infrastructure partnerships. Lead site-level financial analysis, budget-versus-actual reviews, cost-reduction initiatives, and operating model decisions. Partner with infrastructure teams, datacenter expansion leaders, and third-party operators to manage lease, power, and operational spending, operationalize budgets, and reduce infrastructure risk.

Lead Anthropic’s global research and education enterprise sales business, targeting research institutes, research-intensive universities, and K12 organizations. Personally manage complex institutional deals involving procurement, security review, grants, and multiple stakeholders; coach account executives; develop repeatable adoption and expansion playbooks; own revenue and engagement goals; and represent academic customer needs to product, applied AI, and marketing teams.

Leads Anthropic’s global sanctions compliance program, including strategy, risk assessment, policy, screening controls, regulator filings, remediation, reporting, and risk governance. Advises product, commercial, engineering, and operations teams on sanctions and export-control implications, supports export-controls oversight, manages complex escalations, monitors regulatory developments, and develops compliance staff. The role partners with Legal, Internal Audit, Finance, Safeguards, Threat Intelligence, and senior leadership, including the Audit Committee.

Leads Anthropic’s corporate development strategy in life sciences and biotech, including acquisitions, investments, and strategic partnerships. Responsibilities include sourcing targets, conducting scientific, technical, regulatory, data, quality, privacy, and IP diligence, negotiating transactions, building valuation models, presenting recommendations to executives and the board, and driving post-transaction integration. The role partners with research, product, engineering, legal, finance, policy, pharmaceutical, biotech, CRO, and investment stakeholders.

Own production safeguards infrastructure for Claude model launches and safety classifier deployments. Configure and verify safeguards across first-party, AWS Bedrock, and GCP Vertex platforms; lead canary rollouts, post-deployment validation, incident response, and rollback decisions. Build automation, continuous validation, repeatable deployment pipelines, and a provenance registry to reduce operational toil and configuration drift. Participate in on-call rotations and launch readiness processes.

Leads technical revenue accounting for complex ASC 606 positions, including revenue recognition memos, new product assessments, standalone selling price analysis, contract modifications, marketplace arrangements, and non-standard deals. Partners with Deal Desk, Product, Legal, Sales, and Partnerships; oversees contract review, disclosures, close activities, technical research, and revenue systems implementation. Provides authoritative guidance to stakeholders and reports recommendations to the Controller.

Build and lead Anthropic’s technical instruction function. Teach engineers hands-on, hire and manage technical instructors, establish instructional quality standards, design train-the-trainer and certification programs, improve technical content, staff onboarding and training programs, and measure learner and instructor outcomes. The role requires production engineering experience, recent AI development, extensive technical instruction, people leadership, and willingness to work from the San Francisco office during programs.

Build and evaluate AI models and products, develop demos, prototypes, and technical evaluations, and support model launches. Partner with Product, Research, Sales, and Applied AI teams to enable field readiness, solve strategic customer challenges, and translate customer insights into product and research improvements. Create playbooks, training, and reference architectures while serving as a technical expert on emerging AI capabilities. Occasional customer-site travel is required.

Lead end-to-end engineering for Claude Science, an AI workbench for scientific research. Shape product and technical direction from 0 to 1, work directly with scientists, translate research workflows into shipped products, and partner with research teams to improve model capabilities through evaluations and real-world feedback. Drive cross-functional alignment across engineering, product, design, and research while owning high-impact roadmap initiatives.