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TypeSafe AI

Develops system-one AI for software automation

Founding Product Manager

Technical Product ManagementUpdated on Nov 10
Full-timeSan Francisco, CA, USA$204k - $285k /yr

About the Job

Requirements

  • Experience building and shipping technical products from 0 to 1, ideally for developers.
  • Experience building for enterprise customers and understanding the business-to-business product development process.
  • Strong technical intuition and ability to discuss architecture, tradeoffs, and product decisions in depth with engineers.
  • Exceptional product judgment and ability to turn user feedback into clear priorities and product requirements.
  • Comfort moving quickly, working hard, and making decisions with incomplete information.
  • Mission alignment and enthusiasm for the work.
  • Previously built products for developers and enterprises.
  • At least 5 years of product management experience, ideally building highly technical products at a company with a high product and engineering bar.
  • Experience taking products from 0 to 1 and scaling them.
  • Experience building developer-facing products, application programming interfaces, or infrastructure tools, and understanding what makes a great developer experience.

Responsibilities

  • Shape the product direction and experience for bringing Jev and future products to enterprise customers.
  • Translate evolving model capabilities into product experiences, identify what to build next, and drive execution from early ideas through launch and iteration.
  • Think strategically about the direction of Jev while engaging with developers, analyzing usage data, and shipping improvements.
  • Work closely with the CEO and engineering teams to bring frontier AI capabilities to more developers.

About the Company

TypeSafe AI

Develops system-one AI for software automation

TypeSafe AI builds machine-native automation inside software. Its flagship model, Jev, takes unstructured program state and returns typed, probabilistic decisions that software can act on, accessed via API in early access for workflows like routing, scoring, extraction, and verification. It uses a custom parallel sampler architecture and RL for Calibrated Decisions (RLCD) to control when and how decisions are made within applications. The company aims to embed programmable, reliable decision-making inside existing software to automate workflows, differentiating itself from consumer-focused chat AI and other AI vendors; it emerged from stealth in 2026 with a $40 million seed led by DCVC.

Company size
11-50
Company stage
Series A
Total funding
$910M
Headquarters
San Francisco, CA
Founded
2024

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