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Thinking Machines Lab

Engineering Manager

Thinking Machines Lab is hiring an Engineering Manager for a remote role open to applicants in United States. It pays $450k-$500k a year and Level rates it ; you can apply on Thinking Machines Lab.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions visa sponsorship.
  • The posting mentions Distributed Systems and Hpc among its tools and skills.
  • Thinking Machines Lab has 57 other open roles on Level.

AI in this role

Lead a team of senior and staff-level engineers building frontier AI models, ML infrastructure, and product systems.

Distributed SystemsHpc
About Thinking Machines

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

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

  • 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 $450,000 - $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.

How we rate this

Engineering Manager at Thinking Machines Lab rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsHpc

Questions you could be asked

  1. What's a project where you used Distributed Systems hands-on?
  2. Walk me through how you've used Hpc in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems and Hpc. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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