Manager, AI Deployment Engineering - Large Enterprise

OpenAI
London, Munich
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Leadership","Mentorship","Communication","Customer focus","Stakeholder management"]

Lead the AI Deployment Engineering team for Large Enterprise customers across EMEA, owning strategy and the operating model to drive safe, effective GenAI deployments. Manage end-to-end implementation and platform integration, align technical teams to deliver a consistent customer experience, and act as the primary technical escalation point. Translate customer needs into research and applied product/engineering roadmaps while mentoring ADEs and advancing live production applications and API adoption.

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FursaFursa
OpenAI
OpenAI
2 days ago

Manager, AI Deployment Engineering - Large Enterprise

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Lead the AI Deployment Engineering team for Large Enterprise customers across EMEA, owning strategy and the operating model to drive safe, effective GenAI deployments. Manage end-to-end implementation and platform integration, align technical teams to deliver a consistent customer experience, and act as the primary technical escalation point. Translate customer needs into research and applied product/engineering roadmaps while mentoring ADEs and advancing live production applications and API adoption.
Location: London, Munich
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • ā€¢Own the strategy and operating model of the Large Enterprise ADE team, aligned to company objectives and evolving customer needs.
  • ā€¢Lead, build, and mentor a team of ADEs to deliver exceptional customer outcomes demonstrated by production applications and increased API adoption.
  • ā€¢Serve as the technical advocate for customers, synthesizing needs into research and applied product/engineering roadmaps.
  • ā€¢Act as the primary technical escalation point during development, maintaining direct communication with executive-level stakeholders.
  • ā€¢Champion safe and innovative application of OpenAI technology across multiple industries as a thought leader.

Key Requirements

  • ā€¢8+ years of experience in a technical customer-facing role managing C-level technical and business relationships with complex global organizations
  • ā€¢2+ years of experience leading technical post-sales teams, including hiring, developing, and managing technical teams
  • ā€¢Experience delivering GenAI/ML solutions to production for large enterprises with knowledge of network/cloud architecture
  • ā€¢Ability to translate business and technical topics for all audiences and mentor others to do the same
  • ā€¢A humble, eager-to-help attitude with a willingness to learn to ensure success for both the team and customers
Experience:8+ yearsGenAIMachine learningEnterprise deploymentsPost-salesEMEAAPI adoption
Skills:LeadershipMentorshipCommunicationCustomer focusStakeholder management

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·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