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Sr. Technical Program Manager (TPM) - AI Programs, Engineering


Overview

As Senior Technical Program Manager for the AI Platform, you will shape the foundation that powers AI tooling across engineering. You will set strategy, align domains, and drive delivery with measurable business impact. You’ll build a reusable, enterprise-grade platform that integrates tools, workflows, and metrics, turning AI capabilities into everyday engineering practice. This is a chance to own outcomes, influence senior leadership, and enable teams to rely on a scalable AI foundation.

Arbeidsvoorwaarden / Benefits
  • share options
  • 25 days of paid leave
  • MacBook provided
  • hybrid work
  • Learning budget
  • pension plan
Verantwoordelijkheden
  • Own the cross-Engineering AI adoption strategy and drive alignment across domains
  • Define and build a measurement framework to make AI impact visible and decision-driving
  • Lead delivery of an AI toolset integrated into daily workflows and run data-driven trials
  • Move AI from optional to expected by reducing adoption blockers and setting quality guardrails
  • Manage a portfolio of AI initiatives, balancing pace, quality, and risk
  • Ensure platform reliability, safety, compliance, and security at scale
Belangrijkste vereisten
  • Significant senior-level experience in technical program or project management with end-to-end ownership of complex, cross-functional programs
  • Software engineering or engineering management experience
  • Degree in computer science, software development, engineering, or equivalent practical experience
  • Hands-on familiarity with AI-powered developer tools and LLM-based workflows
  • Bias for outcomes with measurable success metrics
  • Proven track record in driving large cross-functional programs in fast-moving environments
  • Ability to lead in ambiguity and create playbooks beyond following predefined processes
  • Strong communication skills to convey technical and data-driven narratives to engineers and executives
  • strong communication
  • results-oriented
  • leadership without formal authority
  • AI-powered developer tools (e.g., Copilot, Cursor)
  • LLM-based workflows
  • metrics for developer productivity (DORA or similar)

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