Manager, Applied AI Engineering (Codex)

OpenAI
Munich, Berlin
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Leadership","Mentorship","Communication","Ownership","Technical judgment"]

Lead a team of Applied AI Engineers to drive successful Codex adoption across strategic customers in the software development lifecycle. You’ll design and scale AI-enabled development workflows, agentic systems, automations, evaluations, and reference architectures, serving as a senior technical escalation point. Partner with Sales, Product, Research, and Engineering to translate customer needs into reusable technical patterns and actionable product insights—measured by sustained adoption and customer outcomes.

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FursaFursa
OpenAI
OpenAI
4 hours ago

Manager, Applied AI Engineering (Codex)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead a team of Applied AI Engineers to drive successful Codex adoption across strategic customers in the software development lifecycle. You’ll design and scale AI-enabled development workflows, agentic systems, automations, evaluations, and reference architectures, serving as a senior technical escalation point. Partner with Sales, Product, Research, and Engineering to translate customer needs into reusable technical patterns and actionable product insights—measured by sustained adoption and customer outcomes.
Location: Munich, Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead, hire, and mentor an Applied AI Engineers team supporting Codex customers across strategic accounts.
  • •Own the operating model and technical engagement strategy, guiding customers from exploration to scaled adoption.
  • •Design and implement AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures.
  • •Serve as the senior technical escalation point and thought partner for complex customer implementations and engineering challenges.
  • •Partner with Sales, Product, Research, and Engineering to align customer outcomes with product direction and create repeatable technical patterns.

Pay and Benefits

Perks:Relocation

Key Requirements

  • •8+ years in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, or technical consulting.
  • •2+ years leading technical teams, including hiring, mentoring, and developing engineers.
  • •Experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production environments.
  • •Hands-on software engineering experience with fluency in programming languages such as Python or JavaScript.
  • •Strong understanding of modern software development lifecycles and how AI/coding agents can change how software is designed, built, tested, and maintained.
Experience:Generative AIDeveloper platformsAgentic systemsCustomer-facing technical consultingCloud software
Skills:LeadershipMentorshipCommunicationOwnershipTechnical judgment
Tech Stack:PythonJavaScriptGenerative AIAgentic systemsCloud-based softwareAI-enabled development workflows

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor