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

Own the operational backbone of Anthropic’s Investor Relations team by coordinating investor meetings, briefings, events, calendars, vendors, records, and follow-ups. Build scalable processes for meeting intake, investor engagement tracking, and post-meeting execution. Partner with Finance, Legal, Communications, Workplace, and external partners to manage sensitive materials and ensure investor interactions run smoothly. The role requires strong organization, discretion, autonomy, communication, and proactive problem-solving in a growing function.

Drive AI adoption and value realization for commercial customers using Anthropic’s Claude products. Build strategic relationships, guide API and enterprise product usage, identify optimization and expansion opportunities, lead change management and enablement programs, conduct business reviews, quantify ROI, and communicate customer insights to Product and Sales teams.

Manage and expedite complex enterprise deals across CPQ, Salesforce, and contract systems. Own deal execution processes, improve CPQ/configurations, build tooling, remove sales friction, coordinate cross-functional stakeholders, and analyze deal patterns to scale commercial operations.

Design, maintain, and optimize encoding libraries and prompt-structure abstractions used across Anthropic. The role involves supporting multimodal data, running experiments on structured inputs, performing complex refactors, improving performance, and adapting systems for emerging AI research and production needs. The engineer will collaborate closely with researchers and engineers while maintaining intuitive APIs and enabling new encoding capabilities.

Leads and develops a team of 5–10 Customer Success Managers serving strategic cybersecurity accounts. The role drives adoption, consumption growth, retention, expansion, customer satisfaction, and executive-level engagement. Responsibilities include building scalable success processes and playbooks, managing escalations and forecasts, partnering with Sales, Product, Engineering, and Marketing, supporting hiring and coaching, and providing cybersecurity and AI expertise to customers and internal teams.

Build safety and oversight infrastructure for AI systems, including behavioral monitoring, automated enforcement, internal dashboards, multi-cloud deployments, sandboxed agent runtimes, network and data access controls, audit logging, and observability. Manage platform capacity, costs, and service-level objectives while collaborating with researchers, engineers, security, privacy, and legal teams to deploy trusted detection and mitigation systems.

Build and maintain recruiting analytics data infrastructure using BigQuery, dbt, Fivetran, SQL, and Python. Design dimensional models, ETL/ELT pipelines, semantic layers, governance controls, data security, monitoring, and standardized recruiting metrics. Integrate Workday, Greenhouse, and internal systems while supporting batch and real-time analytics. Partner with data scientists, engineers, recruiters, and business stakeholders to deliver trusted data products and AI-enabled workforce insights.

Lead go-to-market strategy and execution for Claude Platform launches, including API features, developer tools, and model capabilities. Develop positioning, messaging, campaigns, sales enablement materials, and customer stories for technical audiences. Partner with Product, Sales, Developer Relations, Communications, Creative, and Marketing teams, using customer research and competitive intelligence to influence roadmap priorities and drive API adoption.

Technical Architects help enterprise customers adopt Claude Code and related products through technical workshops, webinars, office hours, train-the-trainer programs, and rollout guidance. They educate administrators on identity, permissions, connectors, spend controls, and data policies; build demos and plugins; relay customer feedback to product teams; and partner with sales, customer success, support, and solutions teams. The role requires hands-on software engineering, public speaking, and 30–50% travel.

Design and build Anthropic’s scalable search platform from scratch. Develop search systems, indexing mechanisms, and retrieval and ranking algorithms to improve accuracy and efficiency. Establish metrics and tooling to measure search quality, working closely with engineers and researchers. The role requires experience building complex distributed systems in production, strong search fundamentals, coding proficiency in Python, Go, Java, or similar languages, and hands-on experience with high-volume data processing architectures.