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Thinking Machines Lab

Researches AI and builds tools to customize models

Governance – Risk and Compliance Lead

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$225k - $350k /yrIn-person

About the Job

Requirements

  • Seven or more years of related experience across technology and cybersecurity Governance, Risk, and Compliance (GRC), with demonstrated breadth across all three disciplines.
  • Experience leading a SOC 2, ISO 27001, FedRAMP, or comparable certification from scoping through audit close.
  • Hands-on experience collecting audit evidence and writing control documentation.
  • Experience managing a recurring compliance process, such as control testing, risk register maintenance, or policy attestations.
  • Experience learning new technical domains quickly and translating them for non-technical stakeholders.

Responsibilities

  • Own the certification roadmap end to end: scope each certification, build the control set, collect and organize evidence, and represent Thinking Machines directly to auditors through audit close.
  • Manage recurring compliance processes on a set cadence, including control testing, audit preparation and response, risk register maintenance, and policy attestations.
  • Answer compliance and risk questions from engineering, security, and product teams directly by building technical fluency across infrastructure, model deployment, and data handling.
  • Track regulatory and framework requirements relevant to an AI company, including GDPR and the EU AI Act, and translate them into specific, actionable controls.
  • Identify gaps in current compliance coverage as the company adds products, infrastructure, or jurisdictions, and propose changes before they become blockers.
  • Build and maintain tooling and documentation to make subsequent audit cycles more efficient.
  • Plan a multi-quarter roadmap for the GRC function while continuing to personally run existing certifications and audits.

Desired Qualifications

  • Background as a software engineer or in a technical engineering role, now applied to GRC, demonstrated through personally built scripts, tools, or automations for evidence collection, control testing, or audit workflows.
  • Experience translating complex compliance requirements into scalable automation using AI agents and custom-built tooling.
  • Experience growing a GRC function's capabilities, such as certifications, tooling, or processes, as a company scaled.

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

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