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

Manage end-to-end payroll processing, ensure compliance, and resolve discrepancies while leading workflows with payroll partners and improving processes.

Lead a team to deliver AI systems in life sciences, ensuring technical standards and managing projects from prototype to production.

As a QA Software Engineer, you will design, implement, and maintain automated test frameworks, ensure quality signals, and collaborate with cross-functional teams to enable rapid software releases.

This role involves designing and executing global paid acquisition campaigns, leading growth experiments, collaborating with engineering, and developing AI-driven workflows.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

As a Research Scientist, you will conduct pioneering research, develop algorithms, and collaborate on groundbreaking machine learning projects to advance AI technology.

The Technical Deployment Lead will own technical delivery for customer systems, ensuring successful deployments and adoption while collaborating with various teams and managing complex projects.

Lead and scale OpenAI's Enterprise Education vertical by setting strategy, shaping product roadmaps, driving GTM (pricing, packaging, positioning), building institutional partnerships in K12 and higher education, representing OpenAI with senior leaders and governments, and defining success metrics and playbooks for institutional AI adoption.

Design, evaluate, and improve mitigation and monitoring systems to prevent extreme harms from AI. Perform root-cause error analysis, build measurement frameworks and dashboards, detect adversarial shifts, quantify over-/under-blocking impacts, and communicate findings to drive product and policy changes across teams.

Build and scale OpenAI's compliance program by designing workflows, driving program execution, managing disclosures and investigations, developing training and reporting, supporting audit readiness, and using AI tools to improve compliance operations and monitoring.