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

Coordinate subcontracting, purchasing, agreements, purchase orders, invoices, and intercompany payments through resolution. Investigate supplier and transaction issues, maintain aligned records, manage procurement workflows, and partner with AP, Accounting, Finance Systems, and suppliers. Build and validate AI-assisted automation for intake, term extraction, drafting, record comparison, exception research, and workflow improvements. Track operational metrics including cycle time, rework, issue aging, and time saved.

Build full-stack monetization platform capabilities for pricing, packaging, eligibility, entitlements, usage, subscriptions, and billing integrations. Design backend services, APIs, interfaces, configuration tools, and reusable components; prototype commercial ideas; ensure consistency during plan changes and failures; and lead production quality through testing, rollouts, monitoring, and recovery. Shape technical direction, collaborate across Product, Design, Finance, Financial Engineering, and Data Science, and mentor engineers.

Engineer and operate enterprise platforms using Terraform, APIs, automation, and infrastructure as code. Build integrations across Google Workspace, GCP, Slack, Atlassian, ChatGPT Enterprise, and service-management tools. Develop internal utilities, self-service workflows, and AI-enabled automations while managing permissions, controls, monitoring, rollouts, and reliability. Participate in on-call support, troubleshoot cross-application and identity issues, and improve employee-facing systems through durable engineering solutions.

Lead technical direction and hands-on development for OpenAI’s plugin ecosystem. Design APIs, SDKs, and backend services; improve plugin discovery, creation, execution, reliability, permissions, and admin controls; and enhance model-tool interactions. Partner with Product, Design, Research, Security, and Trust & Safety to deliver intuitive, dependable experiences across ChatGPT and Codex while mentoring engineers and guiding complex cross-team initiatives.

Lead technical direction and hands-on, end-to-end development of ChatGPT learning experiences. Build polished interfaces, scalable backend services, APIs, and multimodal capabilities spanning text, images, voice, and interactive experiences. Partner with product, design, research, and platform teams to define products, make architecture decisions, improve reliability and usability, and guide initiatives from concept through launch. Mentor engineers and help expand access to AI-powered education.

Own end-to-end growth design for ChatGPT, spanning discovery, onboarding, activation, engagement, conversion, and retention. Develop hypotheses, prototypes, and polished experiences; use data, experimentation, research, and qualitative insights to improve outcomes. Partner with product, engineering, data science, research, and go-to-market teams while translating complex AI capabilities into intuitive, trustworthy products. Contribute product vision, reusable design patterns, and high-quality interaction and visual design.

Lead research on misalignment monitoring for frontier AI systems. Design rigorous evaluations, stress-test and red-team monitors, investigate false positives and missed detections, build scalable evaluation frameworks, and translate findings into safety improvements. The role requires independent research leadership, technical execution, experimental rigor, and collaboration across research, engineering, and safety teams.

Design, build, and operate secure access proxies, gateways, credential brokers, and distributed identity infrastructure. Integrate authorization policies, observability, and identity attribution across systems. Improve performance, reliability, and multi-region recovery through testing, load validation, canaries, and failure testing. Own production support, incident recovery, migrations, APIs, client tooling, and self-service workflows while enforcing least privilege and auditable access.

Lead forecasting initiatives by building, deploying, monitoring, and maintaining interpretable statistical and machine learning models. Develop production-ready forecasts for user growth, revenue, compute consumption, customer lifetime value, and profitability. Create self-service forecasting tools, evaluate emerging forecasting methods, translate technical results into strategic recommendations, and collaborate with product, engineering, research, finance, and executive stakeholders.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access and Legal Operations. Implement least-privilege controls, audit trails, approval gates, and data minimization. Partner with Legal and operations to translate requirements into secure, auditable systems; own production reliability, observability, testing, incident response, and drive reusable privacy infrastructure.