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

Lead deal strategy by analyzing growth, margin, and profitability; structure and review complex enterprise deals; coordinate sales, finance, legal, and compliance; develop approval policies, pricing guidelines, and scalable workflows; assess deal risk and maintain deal documentation and reporting.

Looking for a staff software engineer to develop the Billing Platform, ensuring data integrity in revenue mechanisms while collaborating with cross-functional teams.

Own end-to-end data and RL environment strategy for domain-specific knowledge work. Source and evaluate tasks and vendors, design rewards and QA to prevent reward hacking, run generalization experiments, and partner with RL research and product teams to improve model capabilities.

Lead product operations for Research Product: connect product, research, and users to launch and scale models. Build launch playbooks, run beta/EAPs, create feedback loops, dashboards, and decision frameworks. Improve product development processes, run business rhythms, and drive cross-functional alignment across Product, Engineering, Sales, Customer Success, and Marketing.

The Commercial Counsel will draft and negotiate commercial agreements, support Go-to-Market teams, and manage legal risks while staying updated on AI developments.

The Claude Evangelist will drive adoption of the Claude Developer Platform among startups, create technical content, and lead developer engagement at startup events.

Lead design, development, and deployment of Safeguards systems for frontier AI models across products and cloud providers. Define problems, prioritize solutions, build evals, detections, interventions, and metrics, and coordinate across research, policy, engineering, and product teams to mitigate deployment and user risks.

Design, build, and operate scalable, secure data infrastructure including access control, financial reporting pipelines, cloud storage reliability, and data platform tooling. Collaborate with data scientists, analysts, and stakeholders to ensure data integrity, performance, cost-efficiency, compliance, and rapid recovery at petabyte scale.

Design and implement RL environments and evaluations to enable agentic RTL generation and chip design automation. Optimize EDA tool latency and proxy rewards, run experiments, shape roadmap, and deliver research into production training runs while collaborating across teams.

Build and own validation, CI/CD, and launch infrastructure for LLM inference across cloud providers. Integrate inference features, catch regressions with correctness and performance checks, analyze observability, and reduce merge-to-production time while working cross-functionally with CSP partners.