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Compensation Partner

Thinking Machines LabSan Francisco, California
On-site Full-time $250K/yr - $425K/yr

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Experience Level

Mid to Senior

Qualifications

Minimum Qualifications:7+ years of compensation experience in a fast-paced, high-growth environment. Proven track record of designing and implementing compensation programs from the ground up, ideally in early-stage companies. Experience operating in a competitive talent market where traditional benchmarks are inadequate. Strong ability to articulate a clear and effective compensation philosophy. Preferred Qualifications:Experience in an AI lab, foundation model organization, or rapidly growing tech company where compensation practices evolve swiftly. Understanding of the compensation landscape for research roles, engineering, and non-technical functions, and the unique expectations that accompany each.

About the job

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We are dedicated to creating a future where everyone has access to the knowledge and tools necessary to harness AI for their unique needs and aspirations.

Our team consists of scientists, engineers, and builders who have contributed to some of the most popular AI products, including ChatGPT and Character.ai. We have developed influential open-weight models like Mistral and have been active in renowned open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

About the Role

We are currently seeking a Compensation Partner to join our Operations team. In this pivotal role, you will take ownership of the entire compensation framework at Thinking Machines—from shaping our compensation philosophy and job architecture to collaborating on daily compensation and offer decisions.

Your contributions will directly influence our capacity to attract and retain top-tier talent. We are on the lookout for a Compensation Partner who possesses a strong viewpoint alongside a robust process.

What You’ll Do

  • Design and implement a comprehensive compensation framework and programs to attract and retain exceptional talent.
  • Advise managers and leadership on compensation decisions regarding offers, promotions, and retention strategies.
  • Develop our compensation strategy informed by market research, analytical insights, and your own expertise, acknowledging that traditional benchmarks may lag behind current market realities.
  • Collaborate with finance and leadership to establish an equity compensation framework.
  • Effectively communicate compensation structures to candidates and employees, fostering trust and transparency.

Skills and Qualifications

Minimum Qualifications:

  • 7+ years of compensation experience in a high-growth environment.
  • Demonstrated success in building compensation programs from the ground up, preferably in an early-stage setting.
  • Experience navigating a competitive and dynamic talent market without relying solely on benchmarks and established processes.
  • Ability to articulate a clear and compelling compensation philosophy.

Preferred Qualifications:

  • Experience with AI labs, foundation model companies, or high-growth tech firms where compensation practices evolve more rapidly than standard survey cycles.
  • Familiarity with the compensation landscape across various functions, including research (PhDs, postdocs, industry researchers), engineering, and non-technical roles, recognizing the differing expectations in each area.

About Thinking Machines Lab

Thinking Machines Lab is at the forefront of AI technology, committed to advancing collaborative general intelligence. Our goal is to ensure that everyone can leverage AI in ways that align with their individual objectives and requirements. With a dynamic team of experts, we have developed some of the most recognized AI products and open-source initiatives in the industry.

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