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

Leads and grows infrastructure engineering teams responsible for highly reliable, large-scale production platforms. Oversees distributed systems, cluster reliability, scaling, rollout safety, SLOs, incident response, capacity planning, workflow orchestration, and storage foundations. Sets technical direction, partners with product and infrastructure teams, drives platform initiatives, and coaches engineers and emerging leaders across an ambiguous, rapidly scaling environment.

Drive technically complex AI research programs across model training, reasoning, evaluations, compute, infrastructure, safety, launch readiness, and governance. Translate evolving research priorities into actionable plans, navigate technical and operational tradeoffs, coordinate cross-functional stakeholders, assess experimental results and evidence, and keep ambiguous initiatives moving. The role requires hands-on engagement with researchers, engineers, technical systems, research data, and operational workflows.

Leads and scales OpenAI’s Applied AI Engineering team supporting startup customers. Defines the operating model, develops technical customer-facing engineers, advises startups on architecture and production deployment, partners with Sales and cross-functional teams, and turns recurring customer needs into repeatable playbooks, tooling, reference architectures, and deployment mechanisms. Serves as a senior escalation point while balancing customer impact, product priorities, platform strategy, safety, and team growth.

Lead and grow a team of AI Deployment Engineers to design, deploy, and scale secure, production-grade AI systems for enterprise customers. Own technical success across architecture, reliability, security, adoption, and expansion; act as senior technical escalation; partner cross-functionally to create reusable patterns, operating models, measurement, and product feedback loops while hiring and developing talent.

Own OpenAI’s global PwC alliance, developing strategy, executive relationships, joint business plans, pipeline growth, co-selling motions, solution delivery, governance, and partner enablement. Lead cross-functional teams without direct authority to drive enterprise AI adoption, secure production deployments, customer outcomes, repeatable industry solutions, and sustained commercial growth. Allocate resources, monitor KPIs, manage escalations, and build the operating model needed to scale the partnership.

Leads a regional 24/7 Safety Response team, manages high-risk safety cases and escalations, and owns utilization, SLA, backlog, and quality outcomes. Partners with Product, Policy, Legal, Investigations, and regional teams to execute safety decisions, improve workflows and automation, identify emerging risks, and translate frontline insights into policy, product, and enforcement recommendations. Provides rotating on-call leadership during incidents and regulatory or reputational events.

Coordinate high-volume global recruiting logistics, including interview scheduling, candidate communication, travel arrangements, and ATS management. Serve as a point of contact for candidates and stakeholders, support multiple recruiting functions, maintain strong relationships, and help ensure interviews run smoothly and on time. The role requires organization, multitasking, urgency, professionalism, independent problem-solving, and a strong focus on candidate experience.

The Software Engineer will architect and enhance billing systems, develop integrations, and collaborate with various teams to ensure effective monetization of OpenAI products.

Develop and apply rigorous advertising measurement methods, including attribution, incrementality testing, experimentation, and marketing mix modeling. Partner with sales, advertisers, agencies, product, engineering, and data science teams to interpret results, improve media performance, onboard measurement partners, and build scalable privacy-forward reporting programs and tools. Conduct auction optimization analyses and communicate complex statistical insights to technical and executive audiences.

Designs and executes comprehensive tests for AI hardware systems spanning components, boards, racks, and data centers. Develops test methodologies, debugs hardware, power, thermal, and high-speed interconnect issues, and analyzes performance data. Collaborates with design, manufacturing, firmware, vendors, and lab operations teams. Maintains test equipment and automates testing with Python, Bash, and test frameworks. Requires extensive data center hardware validation experience and expertise with high-speed interfaces and electrical and thermal instrumentation.