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

As a Staff Infrastructure Engineer, you'll develop, optimize, and manage large-scale infrastructure systems and data pipelines to support AI training and scientific research, addressing key infrastructure challenges.

The Software Engineer will develop full-stack applications for AI research teams, enhancing productivity through intuitive interfaces and rapid prototyping. Responsibilities include building infrastructure, collaborating with researchers, and mentoring other engineers.

The Product Support Specialist responds to and investigates user support cases, assists customers, manages urgent issues, and improves support processes.

Lead architecture, roadmap, and implementation for feature flagging, dynamic configuration, and A/B/experimentation infrastructure. Build scalable distributed systems, libraries, tooling, and APIs/CLI to enable safe rollouts, experiments, and measurement across research and production. Partner with deployment, testing, and internal teams to define standards and improve developer productivity.

As a Research Manager, you will lead a technical team focused on mechanistic interpretability in AI. Responsibilities include project planning, team management, and collaboration across departments to ensure faster progress on AI safety research goals.

Software engineers at Anthropic will develop safety mechanisms, monitor AI systems, and build abuse detection infrastructure to enhance user well-being and prevent misuse.

As a Solutions Architect for Applied AI, you'll collaborate with sales, product, and engineering teams to guide enterprise customers through the adoption of Claude AI, ensuring successful integration into their technology stacks and addressing complex business challenges with innovative AI solutions.

The Research Scientist will develop AI capabilities for life sciences tasks, create evaluation benchmarks, and build tools for biological workflows using machine learning to enhance research outcomes.

Lead design and delivery of end-to-end vertical AI products (financial services, science, healthcare, enterprise). Partner with research to productionize models, engage enterprise customers, set technical direction, mentor engineers, and drive cross-team product development from 0→1 and through growth.

The Mid-Market Account Executive will drive AI adoption among mid-market companies, focusing on sales cycles, customer collaboration, and market strategy development.