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AI Engineering Execution Manager

📅 Sep 24
AI EngineeringMachine Learning Development WorkflowsCross-functional Project ExecutionProduct Adoption
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📜 Description

  • Plan and coordinate complex AI development projects across teams.
  • Drive adoption of the group’s modern ML development lifecycle.
  • Define and track success metrics for integration, onboarding, and team adoption.
  • Engage users, customers, and partners to understand needs, shape roadmaps, and drive execution.
  • Align priorities and delivery with engineers, product managers, and partner teams; monitor progress and risks.
  • Resolve technical and organizational blockers and support group planning, communication, and management.

🛠️ Requirements

  • Experience leading execution across multiple teams on complex technical or product initiatives.
  • Strong understanding of AI and ML development workflows, platforms, or products.
  • Track record of turning strategy and roadmaps into clear plans, measurable outcomes, and delivered results.
  • Experience defining success metrics and using them to guide product adoption and improvement.
  • Strong communication, stakeholder-management, judgment, and prioritization skills.
  • Ability to engage with technical challenges, surface blockers, and work with engineers toward resolution.
Full job description
We’re looking for an execution manager to help AI Engineering deliver complex, cross-team initiatives and improve how AI development happens across the organization.
You’ll work closely with engineers, product managers, and partner teams to turn priorities into clear plans, remove blockers, and ensure our products are adopted and delivering value. You’ll also support the group’s broader planning, communication, and management activities.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

What will your job look like:

  • Plan and coordinate execution across teams for complex projects, with a focus on AI development.
  • Drive adoption of a modern ML development lifecycle built by the AI Engineering group.
  • Define and implement success metrics for AI Engineering products, especially measures of integration, onboarding, and team adoption.
  • Engage with product users, customers, and partners to understand needs, shape roadmaps, and drive execution with cross-functional teams.
  • Work closely with group engineers and product managers to align priorities, plans, and delivery.
  • Monitor progress against group goals, identify risks, and help teams stay focused on outcomes.
  • Identify and help resolve technical and organizational blockers.
  • Support group-level planning, communication, and management activities.
  • Build a culture of focus, accountability, and high-quality execution across a talented, experienced, and opinionated team.
  • All you need is:

  • Experience leading execution across multiple teams on complex technical or product initiatives.
  • Strong understanding of AI and ML development workflows, platforms, or products.
  • A track record of turning strategy and roadmaps into clear plans, measurable outcomes, and delivered results.
  • Experience defining success metrics and using them to guide product adoption and improvement.
  • Strong communication and stakeholder-management skills, including the ability to work effectively with technical teams, leaders, customers, and partners.
  • Sound judgment and prioritization skills, with the ability to create focus in a fast-moving environment.
  • The confidence to engage with technical challenges, surface blockers, and work with engineers to move toward resolution.
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