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

As a Customer Success Manager, you will drive AI adoption, build strategic relationships, optimize customer usage of products, and manage customer experiences to maximize value.

Own and scale Anthropic's strategic AWS partnership: build executive relationships, design joint go-to-market and co-selling motions, drive pipeline forecasting and revenue, run joint marketing and sales initiatives, create partnership operations/processes, and surface market and competitive insights to expand partnership impact.

Build and maintain scalable data pipelines, warehousing, and analytics tooling to support AI safety monitoring, abuse detection, and enforcement. Integrate multiple data sources, implement data quality and governance, create dashboards and self-service tools, and partner with research and policy teams to inform safety interventions.

The role involves architecting and implementing Android applications, optimizing performance, and leveraging AI technologies within a collaborative environment.

The role focuses on developing strategic partnerships in the security industry, collaborating with teams to evaluate opportunities and drive complex integrations. Requires extensive industry experience and familiarity with security workflows and regulatory environments.

The Software Engineer will develop Claude Design's frontend and collaborate with teams to create user-centric design experiences, while also mentoring other engineers and setting technical direction.

Lead architecture and engineering-practice improvements for GTM systems processing lead-to-cash transactions. Build and mature delivery pipelines (PR workflow, CI/CD, automated UAT), standardize AI-assisted and agentic development practices, coordinate cross-team architecture and tooling, trace dependencies across upstream and downstream systems, and partner with platform developers to expand safe shipping capabilities.

Manage revenue accounting operations, ensure compliance with revenue recognition, oversee accounts receivable, lead closing processes, and collaborate cross-functionally.

Build and operate data pipelines and tooling that extract, store, and enable querying of research training data. Partner closely with researchers to design APIs, libraries, web interfaces, dataset management, cataloging, provenance tooling, and embed with teams to deliver ML-focused data products and analytics solutions.

Lead technical direction for a research data platform supporting ML researchers: build reusable platform components and end-to-end datasets, drive canonical schemas and pipelines, collaborate with researchers, lead multi-quarter projects, stay hands-on in code, and mentor engineers to raise technical quality and adoption.