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

Manage and grow a team of AI Deployment Engineers to drive AWS-aligned partner and customer production deployments of generative AI and ML. Own technical strategy, architecture guidance, escalations, enablement frameworks, cross-functional collaboration, and operational excellence to scale adoption of OpenAI technologies within the AWS ecosystem.

Build end-to-end full-stack product workflows and backend services for AI-powered security: vulnerability discovery, scanning, red teaming, findings review, remediation, and reruns. Design APIs, data models, async orchestration, durable state, and integrations; improve reliability, observability, and user trust while partnering with security researchers and product teams.

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.

Build and own the production improvement loop for LLM-powered GTM agent workflows: instrument behavior, define evaluation and monitoring, diagnose failures, design and ship behavior improvements, build backend services and feedback pipelines, run experiments and staged rollouts, and partner with product, data, and GTM teams to measure business impact while ensuring safety and reliability.

Founding full‑stack engineer to design, prototype, and ship AI-powered legal products. Own end-to-end frontend and backend systems, build on OpenAI platforms and APIs, iterate with product/design/research, and help define technical foundations and engineering culture for the Legal team.

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 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.

Own analytical strategy for enterprise knowledge-worker adoption across ChatGPT Work and Codex. Define measurement frameworks for activation, retention, workflow depth, and monetization. Analyze behavioral and customer evidence to identify personas, use cases, and interventions that drive durable usage. Design experiments and quasi-experiments, operationalize datasets and scorecards, improve instrumentation with Analytics Engineering, and translate insights into recommendations for Product, GTM, Finance, and executives.

Build and maintain software integrations and backend services to collect, normalize, and expose CPU and storage infrastructure data from heterogeneous sources. Design ingestion pipelines, data models, reconciliation and validation mechanisms, and interfaces to support analytics, planning, and operations. Partner with infrastructure teams to ensure reliability, observability, and scalability of data integrations.

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.