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

Serve as Goodfire’s first in-house lawyer, establishing the company’s legal function and handling contracts, AI/SaaS licensing, data rights, regulatory matters, employment agreements, fundraising, and board matters. Advise on AI security and interpretability issues while negotiating enterprise software and forward-deployed contracts. The role requires independent ownership across all legal matters and is onsite five days weekly in San Francisco.

Own Goodfire’s People strategy and employee lifecycle, including compensation, leveling, equity, benefits, employee relations, compliance, immigration, culture, and scalable People operations. Build systems and processes from scratch, support employees and managers, manage sensitive situations, and help scale a high-performing AI research organization.

Conduct original interpretability research with customers, analyze advanced AI models, prototype techniques to visualize and manipulate model structures, and translate research into production-ready tools. Lead high-stakes project delivery by defining hypotheses, sourcing data, building tools, and iterating with engineering and customer partners. Help shape the company’s research direction while communicating complex technical concepts clearly.

Conduct original research on interpreting and designing biological foundation models for customer applications including precision medicine, digital pathology, and drug discovery. Develop techniques to visualize and manipulate model structures, source data, build tools, and collaborate with engineering to productionize research. Work directly with customers and partners while helping shape research direction. Requires strong biology, computational biology or bioinformatics, machine learning, Python, PyTorch, and communication expertise.

Own technical delivery for strategic AI partner engagements by building production integrations, custom pipelines, tooling, evaluation workflows, and short-term pilots. Embed with customer engineering teams, bridge interpretability research and production systems, prototype and harden novel techniques, and share reusable learnings across engagements. The role requires strong Python and modern machine learning engineering skills, rapid learning, technical communication, and comfort working in ambiguous, customer-facing environments.

Own recruiting strategy and execution across all functions, build a proactive sourcing engine for exceptional AI researchers and engineers, lead the end-to-end interview process, maintain hiring standards, manage recruiting analytics and headcount forecasting, deliver an excellent candidate experience, and build a high-performing recruiting team.

Provide high-touch support to the COO and Principal Investigator by managing calendars and inboxes, coordinating travel and meeting logistics, handling personal tasks, organizing internal/external meetings and events, and partnering with Operations to maintain an exceptional employee experience in a fast-paced startup environment.

The Product Marketing Lead will define messaging, shape the AI interpretability category, drive product launches, and create sales materials, engaging effectively with technical audiences.

The Demand Generation Lead will design and execute marketing campaigns to attract technical AI builders, analyze results, and optimize outreach strategies.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.