T

Thinking Machines Lab

Researches AI and builds tools to customize models

GTM Recruiter

Generalist RecruitingConfirmed live in the last 24 hours
Full-time$220k - $275k /yr

About the Job

Requirements

  • At least 4 years of full-cycle recruiting experience, focused on hiring sales and go-to-market roles.
  • A track record of closing senior sales hires, such as account executives, sales leaders, or solutions engineers, at high-growth technology companies or startups.
  • A strong understanding of sales roles, including quotas, on-target earnings and commission structures, sales cycles, and the characteristics of top performers.
  • Experience sourcing passive candidates and building talent pipelines from scratch.
  • Experience recruiting for go-to-market teams at AI labs, developer platforms, application programming interface or infrastructure companies, or enterprise software companies.
  • Experience building a go-to-market team from zero to one at an early-stage company.
  • Comfort discussing technical products with candidates, including artificial intelligence and machine learning concepts and developer-facing use cases.
  • Experience structuring sales interview processes, scorecards, and calibration to reduce bias and improve signal.
  • Familiarity with applicant tracking systems such as Ashby and with using data to manage a pipeline.
  • Experience supporting hiring across multiple geographies and building a presence in new markets.

Responsibilities

  • Own full-cycle recruiting for go-to-market roles, from intake and sourcing through offer and close.
  • Partner with go-to-market leaders to define role scope, ideal candidate profiles, and quota-carrying and technical sales hiring plans.
  • Proactively source and engage senior sales, solutions engineering, and customer-facing candidates, including passive talent at top AI, developer-tools, and enterprise software companies.
  • Assess candidates for sales fundamentals, including pipeline generation, deal management, technical credibility with developers and researchers, and consultative selling.
  • Design and run structured interview loops and calibration for go-to-market roles, including role-plays and case exercises.
  • Deliver a strong candidate experience and present the mission, product, and opportunity to sought-after candidates.
  • Track and report funnel health, pipeline, and time-to-hire for go-to-market searches, and use the data to improve the process.
  • Work closely with recruiting operations to improve tooling, workflows, and compensation and leveling guidance for sales roles.

Desired Qualifications

  • Experience recruiting for go-to-market teams at AI labs, developer platforms, application programming interface or infrastructure companies, or enterprise software companies.
  • Experience building a go-to-market team from zero to one at an early-stage company.
  • Comfort discussing technical products with candidates, including artificial intelligence and machine learning concepts and developer-facing use cases.
  • Experience structuring sales interview processes, scorecards, and calibration to reduce bias and improve signal.
  • Familiarity with applicant tracking systems such as Ashby and with using data to manage a pipeline.
  • Experience supporting hiring across multiple geographies and building a presence in new markets.

About the Company

Thinking Machines Lab

Researches AI and builds tools to customize models

Thinking Machines Lab researches and builds AI systems, aiming to make AI more widely understood, customizable, and capable. It publishes much of its research openly on its Connectionism blog, starting with work on making AI models give consistent answers to the same question. Its first product, Tinker, lets researchers and developers fine-tune open-weight AI models on their own data while Thinking Machines runs the computing clusters behind it, so customers focus on their data and training methods instead of managing hardware and pay for the computing they use. Former OpenAI chief technology officer Mira Murati founded the lab in 2025, and it is based in San Francisco.

Company size
201-500
Company stage
Series A
Total funding
$7B
Headquarters
San Francisco, CA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Thinking Machines Lab

See more jobs