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

Lead pricing analytics as the first dedicated data scientist on the Pricing team. Design analyses, causal models, experiments, and decision frameworks linking usage, conversion, retention, and revenue to guide pricing, packaging, discounts, and monetization across consumer, SMB, and enterprise segments. Communicate executive-ready recommendations and build a repeatable pricing data science function.

Build end-to-end product and platform features for Codex Security, turning research and model capabilities into scalable, observable systems. Own 0-to-1 projects across product surfaces, backend services, developer workflows, cloud infrastructure, and internal tooling. Collaborate with product, research, infrastructure, and customer teams to iterate from real-world feedback and shape the technical direction of Codex Cyber.

Partner-facing engineer who designs, builds, evaluates, debugs, and launches high-utility plugins for ChatGPT and Codex. Own partner technical journeys, write prototypes and production code, review architectures for security/privacy/reliability, run evaluations, and improve platform APIs, SDKs, docs, and tooling to support smooth launches and ongoing maintenance.

Lead go-to-market strategy and messaging for OpenAI research and safety initiatives. Translate complex technical work into clear narratives for researchers, policymakers, developers, and enterprise; own launch strategy, industry education, and cross-functional alignment across Research, Safety, Policy, Communications, Product, and Marketing.

Research and develop improvements to model personalization and agentic capabilities via RL and post-training methods. Own a research agenda, build robust evaluations, implement and debug code across the research stack, and collaborate with research and product teams to integrate advances into products.

Design and operate CI infrastructure to improve developer productivity and reliability in build systems, enhancing tool efficacy and performance across teams.

Lead end-to-end technical delivery for semiconductor customers, translating business outcomes into roadmaps, coordinating cross-functional teams (FDE, Research, Product, customer engineers), driving 0→1 prototypes to production, ensuring integration with customer toolchains and export-controlled environments, codifying reusable patterns, and measuring ROI and adoption.

The Research Engineer will develop privacy-preserving machine-learning algorithms, strengthen model robustness, and collaborate across teams to implement privacy standards.

Identify and quantify emerging abuse and strategic risks in human-AI systems by discovering weak signals, building analytic models, conducting data mining and statistical modeling, designing adversarial scenarios and stress tests, and producing data-driven briefs to inform prioritization and mitigation.

Lead architecture and implementation of a simulation integration layer connecting the Codex harness and research training infrastructure. Design APIs, execution systems, and reliable platforms for LLM training and evaluation; own end-to-end integrations, rollout, and operations. Partner with research, agent, infrastructure, and platform teams to enable realistic simulated training environments, enforce operational rigor, and prevent technical debt while improving correctness and scalability.