Thinking Machines Lab
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
We’re hiring an Engineering Manager to lead a team of senior and staff-level engineers across ML infrastructure and product. You will help the team build and scale systems that are reliable, performant, and easy to operate.
This role combines collaboration with hand-on work. You’ll partner with tech leads to set the technical direction for your team and own its execution. You should also be ready to go deep on system design and contribute directly when needed.
What You’ll Do
- Lead and grow a team of senior and staff-level engineers, setting clear expectations and maintaining a high bar for execution.
- Own architecture, system design, and long-term technical direction for your team’s systems, with emphasis on reliability and performance.
- Contribute directly to design reviews, prototyping, and debugging critical issues.
- Partner with researchers and product teams to define roadmaps and prioritize work.
- Hire and close senior engineering talent. Mentor engineers into technical leaders.
Skills and Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.
- 8+ years of experience building and scaling production systems, including system design and distributed systems.
- 3+ years of engineering management experience in high-growth environments.
Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:
- Experience managing teams of senior or staff-level engineers.
- Background in infrastructure, systems engineering, or developer productivity.
- Familiarity with AI/ML systems, data infrastructure, or high-performance computing.
- Track record of building or contributing to widely used systems, platforms, or tools.
Logistics
- Location: This role is based in San Francisco, California.
- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $400,000 – $500,000 USD.
- Visa sponsorship: We sponsor visas. While we can’t guarantee success for every candidate or role, if you’re the right fit, we’re committed to working 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.
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 San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.
To apply for this job please visit job-boards.greenhouse.io.
Explore Thinking Machines Lab online
Working in San Francisco
San Francisco, officially the City and County of San Francisco, is the fourth-most populous city in California and the 17th-most populous in the United States, with a population of 826,079 in 2025. Among U.S. cities with a population of 200,000 or more, San Francisco is ranked first by per capita income, second by population density, and sixth by aggregate income as of 2024. Some 4.6 million residents live in the city's metropolitan statistical area, which is the 13th-largest in the United States. Around 9.2 million live in the San Jose–San Francisco–Oakland combined statistical area, the fift
Market context
- Similar listings in San Francisco 3
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Keep exploring on Get A Job.ai
Not quite the right fit? Your next opportunity is a click away.
- Browse all jobs
- More jobs by category
- Remote jobs you can do from anywhere
- Research typical pay for this role
- Set a job alert so new matches reach you first
- Upload your resume to apply faster
Hiring instead? Post a job and reach candidates searching right now.