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

Lead customer storytelling for Industries: identify and prioritize verticals, develop referenceable customer stories, cultivate executive advocates, coordinate with Sales and Communications for announcements, and build scalable playbooks, processes, and creative campaigns to drive adoption of Claude.

The role involves owning the technical strategy for developer productivity, designing reliable distributed infrastructure, and leading complex developer infrastructure projects.

Design new information architectures for language models, refine their interaction with data, and develop evaluation sets to improve functionality.

Build and scale infrastructure and data pipelines for Safeguards ML research. Own training, evaluation, and scoring workflows, design researcher-facing tooling, ensure correctness and reliability, productionize high-value research workflows, and improve throughput, cost, and reliability of large-scale inference and scoring workloads while partnering with researchers.

As a Data Scientist in Marketing, you will enhance AI-driven marketing strategies, collaborate with teams to develop metrics, analyze marketing data, and recommend improvements for user engagement.

Provide commercial legal support for AI safety, research, and go-to-market agreements. Draft, review, and negotiate enterprise and research contracts, build contract templates and playbooks, partner with Sales, Policy, Safeguards, and Research teams, identify and escalate legal risks, and stay current on AI-related legal developments.

Lead revenue accounting, deal desk, and technical accounting: set ASC 606 positions, approve contract accounting, drive revenue systems (Zuora), design controls, prepare disclosures, influence Sales/Legal/Engineering, and grow the team toward public-company readiness.

Drive user acquisition, engagement, retention, and monetization by building full‑stack growth features, designing and running A/B experiments, analyzing user data, and collaborating with product, marketing, and data teams to scale AI products.

Drive the adoption of AI solutions by securing strategic deals with mid-market companies, enhancing their business processes and product offerings.

As a Data Scientist focused on policy, you'll analyze data to inform policy discussions, support partnerships, and measure impact on public perception. You'll collaborate cross-functionally to create clear evidence and frameworks for AI policy communications.