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Artificial Intelligence Underwriting Company

AI deployment audits, standards, and insurance

Member of Technical Staff – Engineering Lead

Engineering LeadershipUpdated on Nov 8
Full-timeSan Francisco, CA, USA$200k - $400k /yrIn-person

About the Job

Requirements

  • You've likely been an engineering manager or tech lead manager at a top-tier engineering company, and spent real time at a startup, or founded a company and then hired and managed the team.
  • You've shipped customer-facing product end to end, and can defend the choices you made in detail.
  • You've managed engineers directly and helped them grow.
  • You want to keep building, with about a third of your time spent on hands-on work in Node.js, TypeScript, Python, and AWS.
  • You've done excellent work inside a system someone else built, alongside startup or founder experience; eight or more years is typical, though founders who've hired and managed may have fewer.
  • You can co-run a team by splitting reports, sharing decisions, and making hard calls together.

Responsibilities

  • Lead the technical work that takes the certification platform to general availability.
  • Find ways to certify more customers with less manual work, and bring more auditors onto the product.
  • Help decide where the product goes after general availability, working with the founders through product judgment and experiments.
  • Take over at least four engineers in the first few months, and build a team that's better than the sum of its parts.
  • Join hiring loops in the first month or two; within a year, own hiring for this side of the team.
  • Split reports and share decisions with the other team lead, making hard calls together.

Desired Qualifications

  • Having built security or compliance products; this is not required, and growth speed is valued more.
  • Having been a hiring manager.
  • Infrastructure depth.

About the Company

Artificial Intelligence Underwriting Company

AI deployment audits, standards, and insurance

Artificial Intelligence Underwriting Company (AIUC) helps enterprises deploy AI agents and frontier models with confidence by providing audits, standards, and insurance. Its main offering is AIUC-1, a certification standard that stress-tests agents against thousands of risk scenarios—such as jailbreaking, hallucinations, and data leaks—developed with input from security and risk leaders and validated through a consortium of partners. AIUC differentiates itself by combining rigorous risk testing with industry standards and insurance, backed by partnerships and a strong investor profile (seed funding of $15M and a $40M Series A in 2026). The company collaborates with builders and firms like Cursor, ElevenLabs, Harvey, KPMG, UiPath, and Fin, aiming to extend audits and insurance to frontier models, not just AI agents. Its goal is to enable safer, more reliable deployment of AI technology across enterprises by providing verifiable safety certifications and financial protections.

Company size
11-50
Company stage
Series A
Total funding
$55M
Headquarters
San Francisco, CA
Founded
2024

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