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

The Research Engineer will develop training environments for agentic AI, balancing research and engineering tasks while collaborating with teams.

Own commercial strategy for R&D services vendors, including contract redlines, templates, renewals, pricing negotiations, competitive sourcing, vendor performance, SLAs, QBRs, escalations, and savings tracking. Partner with Legal, Finance, Security, Procurement Operations, and R&D leadership to manage risk, budgets, capacity, and long-term value. Build AI-powered sourcing tools and playbooks using Claude.

Lead a team of accountants, prepare close materials, establish accounting policies, design controls, and drive process improvements in accounting operations.

Analyze and maintain cyber-related AI usage policies, enforcement guidance, launch policy notes, and controlled-access frameworks. Review enforcement decisions for policy alignment, identify gaps, coordinate cyber policy inputs for model releases and regulatory engagements, and translate technical safeguards, probes, and classifiers into clear policy positions. Collaborate with threat intelligence, enforcement, engineering, and policy teams while preparing reporting for partners and regulators.

Build and scale Anthropic’s Sales Leader Enablement program, including leadership onboarding, sales methodology reinforcement, manager coaching systems, training, and effectiveness measurement. Partner with Product, Marketing, Operations, and sales teams to deliver relevant messaging and development programs. Advise sales leaders on productivity and coaching, secure executive sponsorship, and use Claude and other AI technologies to personalize just-in-time training across a global organization.

Business Systems Analyst translating business requirements into scalable technical solutions. Responsibilities include configuring business applications, managing integrations and vendors, documenting systems and processes, assessing technical risks, improving workflows through automation, conducting testing, supporting and training users, monitoring system performance, and coordinating cross-functional delivery. The role requires strong analytical, communication, documentation, systems configuration, API integration, and process optimization skills in a fast-growing technology environment.

Design and operate provider-agnostic infrastructure for storage, messaging, connectivity, and multi-cloud deployments. Build repeatable pipelines for shipping Claude to partner cloud platforms, collaborate with cloud providers, lead cross-team technical initiatives, mentor engineers, and develop operational practices including on-call, runbooks, postmortems, and incident response.

Design, build, and operate Claude Managed Agents infrastructure, including durable sessions, sandbox orchestration, streaming, scheduling, multi-tenant isolation, agent harnesses, evaluations, memory, multi-agent coordination, observability, and developer APIs. Lead 0-to-1 initiatives from ideation through general availability, own production reliability and operations, and collaborate with research, product, developer experience, and go-to-market teams.

Lead cross-functional Revenue Operations programs that improve seller efficiency through process, systems, and data transformation. Own initiatives such as quoting, forecasting, Salesforce modernization, territory rollouts, and workflow automation. Coordinate Sales, Revenue Operations, GTM Systems, Finance, Marketing, Legal, and Enablement; manage plans, dependencies, risks, communications, training, and adoption. Measure program outcomes, eliminate operational friction, and report status and decisions to leadership.

Lead go-to-market strategy and operations for frontier model and product launches. Own account selection, field readiness, launch-week coordination, customer adoption analysis, feedback loops, NPI methodology, executive reporting, capacity planning, and cross-functional alignment across GTM, Product, Research, Finance, Applied AI, Security, and Compute. Develop repeatable launch processes and actionable insights in a rapidly changing AI product environment.