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

Build, scale, and maintain research infrastructure to support rapidly evolving ML workloads. Scope and lead complex multi-month projects, make architectural decisions, drive cross-team alignment, and partner with researchers to design reliable, scalable systems. Mentor engineers and set technical standards while prioritizing pragmatic iteration and production reliability.

As a Startup Account Manager, you'll drive expansion and retention for high-growth startup customers, leveraging consultative sales expertise to enhance their AI capabilities and ensure maximum value from Anthropic's solutions.

This role involves analyzing data to optimize computing resources, forecasting capacity needs, and collaborating with various stakeholders to improve operational efficiency.

The Technical Program Manager will coordinate model launches, manage infrastructure integration, optimize performance, and ensure effective communication across teams.

As a Research Engineer, you will develop large scale ML systems, optimize infrastructure and enhance research tools while ensuring reliability and safety.

Responsible for recruiting top talent for Core Tech teams, focusing on Machine Learning and AI. Collaborates with hiring managers to improve processes and enhance employer branding while scaling diverse teams.

Manage operational health and progress of reliability infrastructure in AI systems, driving incident responses, maintaining service-level objectives, and coordinating platform projects.

Lead and grow an engineering team building investigation, review, and enforcement tooling and platform capabilities. Define roadmap for analytics, privacy-preserving data primitives, sandboxes, and automation that integrates Claude/LLMs into human-in-the-loop review workflows. Partner with policy, operations, legal, privacy, and data science to translate enforcement needs into reliable, privacy-compatible systems and hire and coach top technical talent.

Own and scale Anthropic's People-side M&A program end-to-end: shape deal decisions, lead the most complex acquisitions, build standards/playbooks, coordinate cross-functional workstreams (recruiting, immigration, legal, benefits, comms), and create durable systems and automation to improve integration outcomes and candidate/employee experience.

As a Research Engineer, you'll enhance model performance in safe coding for accelerators, design RL environments, and collaborate across teams.