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

Leads complex Corporate Engineering programs spanning enterprise IT systems, office buildouts, infrastructure, endpoint and device management, SaaS platforms, IT operations, and collaboration technology. Partners with Engineering, Security, Facilities, People, Finance, and vendors to define requirements, manage risks, establish architectural standards, deliver deployments, improve service reliability, and communicate program status and technical recommendations to executives and cross-functional teams.

Own Anthropic’s technology-focused SOX program, including IT control design, evidence collection, testing, remediation, scope management, and year-end reporting. Partner with engineering, security, GRC, Finance, and auditors to translate compliance requirements into engineering work. Lead SOX projects, investigate control failures, develop dashboards, and automate evidence and testing workflows using Claude and other AI tools.

Manages commercial insurance operations, including contract reviews, claims, certificates, policy administration, exposure reporting, broker coordination, and renewal support. Supports actuarial analyses, captive insurance, fronting, reinsurance, risk financing, and loss prevention. Partners with Legal, Finance, Compute, Engineering, Security, Product, and Payroll while automating insurance workflows using AI and technology tools.

Leads brand and marketing measurement, including brand health tracking, executive readouts, campaign analysis, funnel insights, media mix modeling, attribution, incrementality, and dashboard reliability. Partners across marketing, communications, data science, sales, finance, and research vendors to create defensible insights from behavioral, media, campaign, and survey data. Translates statistical findings into clear recommendations for nontechnical stakeholders and guides future marketing investment and campaign strategy.

Own end-to-end technical programs scaling Anthropic’s Claude inference serving fleet across accelerator and cloud platforms. Drive capacity expansion, reliability, migrations, developer productivity, performance, efficiency, and model-launch readiness. Coordinate production, research, safeguards, infrastructure, security, compute, networking, and external partners while balancing cost, latency, utilization, and reliability. Build lightweight program mechanisms, manage cross-functional dependencies, and ensure measurable outcomes in large-scale distributed systems.

Build core software systems for datacenter lifecycle management, including sites, designs, equipment, bills of materials, and construction progress. Partner with datacenter, energy, supply chain, and research teams to understand workflows, consolidate fragmented data, integrate industry tools, and ensure permissions, auditability, and data quality. Deliver user-focused products iteratively to accelerate compute infrastructure deployment.

Own comarketing relationships with strategic technology partners, beginning with Salesforce. Build joint marketing plans, manage MDF budgets, execute executive events and field programs, extend initiatives through ecosystem partners, measure pipeline attribution, protect brand standards, and coordinate internal marketing, partnerships, product, events, and communications teams.

Leads enterprise AI deployments for strategic customers, owning technical strategy, architecture, discovery, advisory engagements, production application development, and end-to-end delivery. Builds agent components with Claude, guides partners and other engineers, advises senior stakeholders, identifies repeatable deployment patterns, and develops long-term customer relationships. Requires strong production engineering, system design, customer-facing leadership, and hands-on LLM and agent experience. Travel to customer sites is approximately 25%.

Lead a software engineering team building Claude APIs, agent infrastructure, SDKs, documentation, and developer tools. Own planning, prioritization, delivery, operational health, hiring, coaching, and performance management. Partner with Product and customers to shape the roadmap, guide distributed-systems architecture and API design, and collaborate with Research, Safeguards, Security, and go-to-market teams to deliver reliable AI capabilities safely.

Own the technical strategy and roadmap for Platform Acceleration while remaining hands-on building backend, infrastructure, and developer tooling. Develop systems that establish trust in code changes, including AI-generated code; build engineering agents; improve CI/CD, testing, deployment, and shared systems; partner with internal engineering teams; measure developer experience and adoption; and lead complex cross-team projects from ambiguity to adoption.