O

OpenAI

Builds AI models and the ChatGPT assistant

Manager, Applied AI Engineering - Codex

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Have 8 or more years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, or technical consulting.
  • Have 2 or more years of experience leading technical teams, including hiring, mentoring, and developing engineers.
  • Have experience building or deploying generative artificial intelligence, developer platforms, agentic systems, or cloud-based software solutions in production environments.
  • Have strong hands-on software engineering experience and fluency with programming languages such as Python or JavaScript.
  • Understand modern software development lifecycles and how artificial intelligence and coding agents can change how software is designed, built, tested, and maintained.
  • Be able to work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and turn ideas into working solutions.
  • Be able to translate complex technical and business topics for engineering teams and executive stakeholders.
  • Be able to build new operating models, technical patterns, and teams in ambiguous, fast-moving environments.
  • Demonstrate ownership, humility, technical judgment, and commitment to helping customers and teammates succeed.
  • Be personally committed to fostering the safe and beneficial development of artificial intelligence.

Responsibilities

  • Lead, hire, and mentor a high-performing team of Applied AI Engineers supporting Codex customers across strategic accounts.
  • Own the operating model and technical engagement strategy for Codex Applied AI Engineering, helping customers move from initial exploration to meaningful, scaled adoption.
  • Guide teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures.
  • Act as the senior technical escalation point and thought partner for complex customer implementations and engineering challenges.
  • Partner with Sales, Product, Research, and Engineering teams to align customer outcomes with product direction and roadmap priorities.
  • Establish repeatable technical patterns, playbooks, reference architectures, and best practices that enable broader adoption of AI-powered software development.
  • Coach Applied AI Engineers to operate as trusted technical partners to engineering leaders, executives, and highly technical customer teams.
  • Synthesize insights from customer engagements and translate them into actionable feedback for Product, Research, and Engineering.
  • Develop a deep understanding of how customers are using Codex, where they encounter friction, and where new technical approaches or product capabilities could unlock greater impact.
  • Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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