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

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 B2B lifecycle strategy and journey architecture across prospect and customer stages. Design personalized nurture and activation programs, establish triggers and routing with cross-functional partners, own experimentation and measurement frameworks, improve database health, and build lifecycle playbooks to drive conversion, pipeline, adoption, retention, and scalable execution.

Lead OpenAI's legal-industry product work: define strategy and roadmap, translate customer and model evidence into requirements, and drive cross-functional execution to take AI products from concept to real-world use while ensuring trust and collaboration.

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 strategy for webinars and digital events to drive qualified demand and pipeline. Own audience prioritization, portfolio design, programming, measurement, and conversion paths. Partner cross-functionally on production, promotion, qualification, and follow-up to translate engagement into sales-ready pipeline.

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.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access requests. Implement least-privilege access, audit trails, data minimization, and approval gates. Partner with Legal and Operations to translate requirements into secure, auditable, and operator-friendly systems. Own production reliability, testing, observability, and incident response while defining reusable privacy infrastructure.