HR Business Partner

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open‑weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role The new role of HR Business Partner will combine two tasks: leadership coaching and people systems design. The two require different skillsets, but share a vision for managing talent. What You’ll Do Coach managers to be more effective leaders by observing how they lead, identifying strengths and blind spots, and working on continuous improvement. Advise leadership on organizational decisions: team structure, succession planning, and strategic people choices that shape how we work. Design compensation structures that let us compete for the best machine learning talent while staying aligned on values and principles. Create career/leveling frameworks that work for a research lab where career advancement doesn’t always mean managing people, and where senior researchers expect to grow and learn even after a decade in the role. Build feedback and evaluation processes that help people improve, not just get measured. Skills and Qualifications Minimum qualifications: 5+ years experience working as a people leader or HR business partner in a high‑growth technical environment. Fluency with employment law and best practices in North America. Proven track record of developing HR practices and supporting a diverse set of talent. Preferred qualifications: 10+ years experience as a people leader or HR business partner; experience in setting up novel systems that scale in a fast‑growing company; coaching experience that showcases a skill set in providing confidential support, motivating improvement, and conflict resolution; track record of supporting a high trust and low ego environment for high‑caliber talent with strong retention and growth. Logistics Location: SanFrancisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range is $190,000–$300,000USD. Visa sponsorship: We sponsor visas and will work through the visa process together. Benefits Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. Equal Employment Opportunity As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the SanFrancisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law. #J-18808-Ljbffr Doist