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Head of Revenue Operations

Thinking Machines Lab · San Francisco

Frontier labonsitedirector$300k–$350k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own end-to-end revenue systems from first touch to expansion as first RevOps hire.
  • Unify CRM, deal desk, reporting and billing into one coherent operating system.
  • Make new AI products and pricing operationally ready from quoting to billing.

What they offer

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

Senior revenue operations builder who thrives amid ambiguity and pairs strategy with hands-on execution. You care about creating efficient, trusted go-to-market systems that scale frontier AI products.

Requirements

  • 12+ years in revenue operations, sales operations, or GTM systems at high-growth SaaS, API, or infrastructure companies, including leading the function
  • Deep hands-on CRM administration including pipeline management, forecasting, and reporting
  • Experience supporting usage-based pricing including prepaid commitments, credits, and overages, as well as subscription or hybrid models
  • Experience designing sales compensation plans and implementing a commissions tool
  • Track record of personally building GTM processes and systems from scratch
  • Hands-on experience leading full system implementations from vendor selection through rollout
  • Strong SQL and data skills with ability to build own reporting and analysis
  • Ability to operate independently, prioritize across competing demands, and deliver hands-on before building a team
  • AI fluency and active use of AI tools in own work
  • Exceptional written and verbal communication with ability to partner with GTM leaders and executives
visa sponsorship
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Lab profile

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗

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