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

As a Technical CBRN-E Threat Investigator, you will detect, investigate, and disrupt misuse of AI systems related to CBRN-E threats, analyzing data and developing detection techniques.

The Internal Communications Manager will develop and execute internal communication strategies for Anthropic's Policy team, ensuring that employees understand policy impacts on the organization's mission and their work. Responsibilities include managing communication channels, partnering with leadership, conducting research to inform strategies, and amplifying the brand's values across internal touchpoints.

The Marketing Events Content Manager will develop event content strategies, manage speaker narratives, and create compelling marketing materials for various AI-focused events, enhancing brand engagement and pipeline.

This role involves delivering analytics for Finance & Strategy, developing data pipelines, and producing insights to inform leadership decisions.

The Head of Copy & Content will define brand voice, lead creative strategy, and build a team of writers to enhance marketing efforts for Anthropic and Claude brands through effective storytelling and collaboration.

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 Performance Engineer will analyze system performance, evaluate model outputs, build observability tools, and partner with teams to optimize throughput, latency, and correctness in AI systems.

Drive the adoption of AI solutions by securing strategic deals with enterprises, collaborating with cross-functional teams, and providing tailored solutions.

The Applied AI Engineer will collaborate closely with life sciences institutions to enhance scientific workflows through AI integration, emphasizing the deployment of Claude across various applications in life sciences. Responsibilities include developing infrastructure, building trust with researchers, and creating documentation for AI tools.

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.