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

Lead technical engagements with strategic customers using frontier AI capabilities. Rapidly prototype solutions, design evaluations, troubleshoot model behavior, and run end-to-end early access programs. Synthesize findings, align cross-functional partners, and codify reusable architectures and playbooks to inform product and launch decisions.

Lead product design for growth experiences across Codex and ChatGPT Business. Manage and mentor a small team of product designers while remaining hands-on with high-impact projects. Set quality standards across interaction, visual, systems, and content design; partner with product, engineering, research, data, and go-to-market teams; and use experimentation, quantitative data, and research to improve discovery, onboarding, activation, engagement, conversion, and retention.

Design and ship APIs, SDKs, and backend services that enable developers to create, test, publish, update, and share plugins for ChatGPT and Codex. Improve compatibility across products, contribute to MCP and other open standards, and collaborate with developers, partners, Product, Research, Security, and Trust & Safety. The role spans developer-facing interfaces, platform tooling, documentation, permissions, and safe, reliable plugin execution.

Leads technical strategy and execution for enterprise AI products and platform capabilities. Translates customer and business needs into product priorities, influences architecture, coordinates cross-functional launches, and improves enterprise deployment, security, governance, adoption, and scalability. Partners with engineering, product, security, legal, design, and go-to-market teams while communicating risks, milestones, tradeoffs, and program health to senior leadership.

Leads complex technical programs that integrate AI safety safeguards across ChatGPT, API, enterprise, cloud, and platform environments. Responsibilities include roadmap development, cross-functional execution, deployment readiness, risk mitigation, safeguard implementation, misuse prevention, monitoring, enforcement, metrics, and executive communication. The role partners with engineering, research, product, operations, legal, policy, and external stakeholders to deliver responsible AI deployments.

Owns end-to-end finance for assigned hardware COGS and inventory areas, including forecasting, financial close, variance analysis, inventory planning, and margin insights. Partners with Product, Supply Chain, Operations, Accounting, Systems/Data, and Finance teams to improve financial data, dashboards, controls, processes, and scalable workflows. Develops scenarios and recommendations, identifies risks and tradeoffs, and influences senior stakeholders without formal authority.

Lead Ads revenue accounting technical assessments and policy, establish governance and 0-to-1 processes, translate accounting into product/billing/data requirements, own reconciliations, accruals, controls, and audit-ready documentation while partnering cross-functionally to scale Ads monetization.

Lead end-to-end technical programs to deploy OpenAI models on major cloud partners. Own integrated roadmaps, launch readiness, partner engineering coordination, risk management, and build repeatable launch pipelines across cross-functional teams.

Lead high-stakes technology negotiations from strategy to signed agreement for data platforms, infrastructure, observability, and enterprise SaaS. Develop fact-based negotiation plans, align cross-functional stakeholders, shape complex commercial structures (cost, equity, revenue, risk), advise executives, manage supplier engagements and escalations, and convert lessons into reusable playbooks and market intelligence.

This role involves building ML infrastructure for monetization, including developing data pipelines, model training platforms, and real-time serving systems, while ensuring performance and reliability.