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

Owns the design, operation, rollout, and iteration of high-traffic authentication, authorization, and identity platform systems. Responsibilities include agent credentials, unified low-latency authorization, service-account and agent identity models, multi-region resilience, enterprise SSO and SCIM integrations, migrations, technical strategy, reliability, security, documentation, and cross-functional collaboration.

Owns the revenue and order-to-cash internal control environment, including SOX 404 readiness, process documentation, control design, IPE validation, audit support, remediation, SOC reporting, and system implementation governance. Partners across Accounting, Revenue Systems, Internal Audit, Product, Sales, Legal, and external auditors to ensure accurate billing, revenue recognition, data reconciliation, and control readiness for system changes.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

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.

As a GPU Performance Engineer, you will develop and implement systems for GPU optimization, enhancing performance for large language models, and addressing complexities in hardware and software integration.

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.

The Research Engineer will develop large language models, conduct research on model architecture, optimize training infrastructure, and lead research projects.

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