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

Build and scale partner marketing for ChatGPT Ads by developing ecosystem strategies, go-to-market frameworks, co-marketing programs, enablement, messaging, launches, customer stories, and measurement systems. Collaborate with technology, measurement, agency, product, sales, communications, legal, and brand teams to drive advertiser acquisition, activation, adoption, investment, pipeline, and revenue through strategic partners.

Designs and releases high-density multilayer PCBs for robotic systems, including placement, routing, signal and power integrity, EMI/EMC, thermal, and mechanical integration. Collaborates with engineering, fabrication, and assembly partners on stack-ups, DFM/DFA/DFT, documentation, manufacturing inspections, and failure analysis. Maintains component libraries and develops reusable layout constraints and workflows.

Lead cross-functional technical programs supporting search research and engineering, including model training, retrieval, indexing, and search infrastructure. Translate goals into workstreams, milestones, dependencies, metrics, and resource plans. Partner with research, engineering, product, policy, legal, and data providers to resolve risks, tradeoffs, and blockers. Improve execution processes while tracking search quality, coverage, responsiveness, and trust.

Leads infrastructure sourcing operations from intake and vendor readiness through contracting, purchase-order issuance, invoicing, logistics, delivery, installation, and readiness. Owns procurement prioritization, supplier escalations, contract coordination, commercial issue resolution, portfolio visibility, source-of-record governance, reporting, and process improvement across major infrastructure programs. The role coordinates Procurement, Legal, Finance, Engineering, Construction, suppliers, and senior leaders while managing critical-path risks, long-lead equipment, schedule impacts, and recovery actions.

Leads deal strategy for complex, high-value AMER commercial opportunities from initial planning through proposal, negotiation, and closure. Develops executive-ready proposals, ROI analyses, value narratives, and business cases; partners with Sales, Finance, Pricing, Product, Legal, and Operations. Builds reusable negotiation playbooks, calculators, templates, and deal-support mechanisms, while applying AI to improve workflows and scalability.

Conduct research on mechanistic interpretability and deep-learning model representations, publish findings, engineer infrastructure for studying model internals at scale, collaborate across teams, and guide research toward useful and scalable AI alignment and safety outcomes.

Own and scale OpenAI’s product lifecycle assurance program from development through continuous post-launch monitoring. Partner with Product, Security, Legal, Privacy, Safety, and Engineering to govern launch reviews, identify risks, and ensure compliance claims map to verifiable controls. Build low-friction technical controls, CI/CD checks, guardrails, monitoring, metrics, and dashboards across infrastructure and developer workflows. Guide high-stakes launch decisions, improve risk posture, and use incidents and regressions to strengthen assurance processes.

Lead partnerships connecting integrations to OpenAI's flagship products, negotiating agreements, driving partner success, and collaborating with product and engineering teams.

Drive partnerships that enable external deployment of OpenAI research and models. The role aligns research, engineering, and partner teams; manages technical inquiries; designs scalable processes; delivers pipeline and tooling projects; and improves communication and deployment velocity. Success requires strategic partnership and technical program management experience, strong cross-functional communication, process design skills, and familiarity with AI models, LLM APIs, or no-code/low-code tools.

Support U.S. government and public-sector customers by troubleshooting complex SaaS and OpenAI platform issues, handling escalations, and translating security and compliance requirements into actionable guidance. Partner with Engineering, Product, Operations, and Go-to-Market teams to resolve recurring problems, improve products, and develop scalable support processes. Use Python, AI tools, automation, and scripting to reduce manual work and improve operational efficiency. Provide occasional holiday and weekend on-call coverage.