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

The role involves building and maintaining systems for iterative development and deployment, focusing on a seamless developer experience in a large monorepo environment.

Responsible for delivering technical enablement and adoption services for OpenAI's product suite, training customers on usage, and ensuring sustained product adoption and measurable business value.

Build and own autonomous, customer‑facing and internal agentic systems that drive revenue and pipeline. Execute end-to-end product development from prototypes to production, working across APIs, orchestration, data flows, frontend experiences, and deployment while partnering with marketing and sales stakeholders to measure impact.

The role focuses on managing the delivery of data center projects, ensuring on-time completion, and coordinating with stakeholders and vendors. It involves overseeing project milestones, budgets, and risk management, along with maintaining relationships with commercial partners like Oracle.

Partner with research teams to define hiring priorities and execute strategic searches for top AI/ML researchers and research engineers. Proactively source, evaluate, and close highly specialized technical candidates, advising on leveling and compensation while collaborating with sourcing partners through complex searches.

Provide technical support and troubleshooting for complex customer issues, use scripting and OpenAI tools to automate processes, partner with engineering and product teams to resolve bugs, improve support systems, and scale operations while participating in on-call and weekend coverage.

Lead and deliver early platform deployments for design partners: define scope and success metrics, run integrated delivery plans, ensure enterprise readiness (security, RBAC, infra), align stakeholders, drive production adoption, run concurrent pilots, and convert learnings into scalable platform improvements.

Build and own autonomous, customer-facing systems to drive revenue and marketing efficiency while partnering with stakeholders for success metrics.

Embed with Product and Engineering to define success metrics, design measurement and experimentation frameworks, instrument and monitor launches, translate model-driven signals into decisions, and build repeatable decision loops to convert analysis into shipped changes.

Build and maintain Lead-to-Opportunity Salesforce solutions, integrations, and data enrichment workflows. Troubleshoot production lead capture/routing issues, document processes, and collaborate cross-functionally to support GTM pipeline creation and lifecycle engagement.