Applied AI Engineering Manager, Startups | Core

AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.

41 current maintainers27 active leads7 new active leads120 lead step-downs17 early lead departures
San Francisco, United States
About OpenAI

OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.

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Skills

About the Role

You will lead and scale the Startups Applied AI Engineering team, helping high-growth startups go from experimentation to production. You will mentor technical ICs, advise on architecture, act as a senior technical escalation point for founders and CTOs, and partner with Sales, Product, Engineering and Research to build repeatable playbooks and reference architectures.

Requirements

  • Experience founding, scaling or operating within early-stage startups, ideally in technical leadership
  • Track record building and leading technical customer-facing teams
  • Strong technical depth across APIs, platform products, AI/ML systems, developer workflows and production deployment
  • Experience creating scalable operating models
  • Comfortable working with founders, CTOs and technical executives
  • Strong judgment on deep engagement versus repeatable mechanisms
  • Ability to translate technical considerations into clear recommendations

Responsibilities

  • Craft and refine the strategic vision and operating model for the Startups Applied AI Engineering team
  • Lead, mentor and grow a team of technical ICs
  • Help startups move from experimentation to production by identifying blockers and advising on architecture
  • Partner with Sales to accelerate adoption and account growth
  • Synthesize startup customer feedback for Product and Research
  • Build playbooks, starter packs, reference architectures and internal tooling
  • Serve as senior technical escalation point for priority customers
  • Balance urgent customer needs with broader product priorities
  • Coach Applied AI Engineers on technical quality, prioritization and executive communication
  • Partner across Sales, Product, Engineering, Research and GTM teams