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

Build and maintain critical shared backend services (auth, webhooks, agent backends, SCM integrations). Ensure reliability, scalability, observability, and well-defined service contracts; partner with client and inference teams to improve end-to-end agent performance.

Lead cross-functional infrastructure programs to attribute COGS and R&D spend, optimize GPU and compute allocation, build capacity forecasting and cost dashboards, partner with ML, Infra, and Finance to drive data-driven resource decisions and execute measurable cost-efficiency outcomes.

Design and implement Growth team features across onboarding, monetization, and core product experience. Collaborate in a small, flat team to ship product-focused engineering that blends models, design, and usability, driving business impact through creative, user-centric solutions.

Design, implement, and operate developer productivity systems and tooling to improve build speed, reliability, and developer velocity. Build multi-platform dev environments, CI/CD pipelines, machine provisioning, and observability. Collaborate across engineering, set technical direction, write and review code, and support end-to-end developer workflows from local development to global deployment.

Build and ship end-to-end Bugbot features: frontend, backend, and model integration. Improve the review pipeline (prompting, routing, context selection), embed integrations into developer workflows, monitor and improve review quality, and design onboarding to drive adoption while partnering with ML, infra, and product teams.

Lead a team building high-signal evaluation datasets, developer tools, and online evaluation systems (e.g., CursorBench) to measure and improve coding agent/model quality, integrate evals into launches, deploys, and training decisions, and define metrics and guardrails.

Own and expand a portfolio of commercial customers, drive renewals and net revenue retention, deepen product adoption, run renewal negotiations, prioritize strategic accounts, translate AI/product changes into customer value, and collaborate with Product, Support, RevOps, and Sales leadership.

Own post-sale success for enterprise customers: lead end-to-end rollouts, drive adoption and retention, engage engineering leaders, translate use cases into repeatable workflows, monitor usage to drive renewals and expansion, and surface customer insights to influence product roadmap.

Drive RL research end-to-end for coding agents: form hypotheses, design experiments, build training/eval/data pipelines, train graders for non-verifiable rewards, improve datapoint quality, and develop realtime RL solutions to scale model performance.

Drive revenue by owning full sales cycles for developer-focused AI SaaS. Build pipeline, close new logos, manage multi-threaded deals across engineering, product, security, procurement and legal, quantify ROI for developer productivity, influence roadmap, and refine sales playbooks.