Top AI Ethics Jobs in San Francisco Bay Area, CA

Own full sales cycle for GenAI customers, engaging senior product, research, and safety stakeholders. Position and sell AI safety, red teaming, model evaluation, and post-training data services. Scope pre-sales, shape proposals with solutions teams, drive pricing and negotiations, and maintain accurate pipeline forecasting.

Lead development and evolution of youth-facing AI safety standards: synthesize expert and stakeholder input, document public standards, translate standards into testable evaluation rubrics, ensure transparency/versioning, and manage multi-track standards projects while coordinating with technical evaluators and leadership.

Convert interpretability research into production product features: design and build full-stack interfaces, APIs, workflows, and integrations for model evaluation, debugging, monitoring, and deployment. Partner with researchers, engineers, designers, and customers to deliver reliable, performant, and user-friendly tooling for understanding model internals.

As a Technical Product Intern, you'll prototype user safety features, conduct competitive analysis, and translate compliance frameworks into product logic, focused on real-time AI enforcement.

Lead firmwide AI enablement by defining strategy, communications, training, and measurement to drive responsible adoption. Partner with AI Steering Group, Solutions, Infrastructure, and Governance pillars to build training, a prompt/skill library, manager programs, and adoption metrics, while coordinating with Legal, Compliance, InfoSec, and vendors.

Lead Sutter Health's AI governance program: set operating model and policies, manage a team of analysts, conduct high-complexity reviews, draft standards, prioritize AI use cases, and coordinate cross-functional stakeholders to integrate governance across model development and monitoring lifecycles.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Lead product strategy for GenAI safety across Pinterest: build proactive safety frameworks, run threat modeling and red-teaming, translate policy into product requirements, define safety metrics, manage incident response, and collaborate cross-functionally to ensure equitable, scalable AI safeguards.

Lead AI Governance initiatives with strategic customers, translate customer insights and regulations into product vision and roadmap, guide development of AI inventories, risk management, policy and governance workflows, influence product and engineering execution, drive adoption and measurable business outcomes, and act as trusted advisor on responsible AI and compliance.

Lead design and ownership of end-to-end quality systems for Snorkel's Data-as-a-Service. Establish standards, metrics, governance, and automation to measure and scale contributor, datapoint, and dataset quality. Partner cross-functionally to operationalize quality, then build and grow the Quality team while representing Snorkel externally.