AI Co-Innovation Engineering Program Manager

Responsibilities

• Drive the operational rigor of complex, cross-functional programs
• Serve as a credible technical thought partner to engineering teams and external technology partners
• Manage a portfolio of programs end-to-end: plans, milestones, performance metrics, risks, and resource needs
• Define and run the communication plan for each program — landing strategy, rhythm of business, executive updates, and decision logs
• Establish objectives and success criteria with stakeholders, hold teams accountable, and shepherd decisions to closure
• Use OKRs, KPIs, and other performance metrics to demonstrate program value and business impact
• Recognize process gaps and inefficiencies, and drive optimization across the portfolio
• Advise internal stakeholders on technical feasibility and trade-offs
• Maintain working knowledge across modern AI systems — LLMs, agentic frameworks, ML pipelines
• Promote reference architectures, standards, and reusable patterns from partner engagements
• Map partner capabilities to internal opportunities, helping business units see what's possible
• Jointly qualify and prioritize partner opportunities with the AI Engineering Programs Manager
• Engage internal teams — engineering, product groups, R&D — to confirm capability to execute and to unblock technical and business obstacles as they surface

• Bachelor's Degree in relevant field
• Legal authorization to work in the US is required
• Typically requires a minimum of 12 years of related experience
• Bachelor's Degree in Computer Science, Engineering, Data Science, or equivalent practical experience
• 5+ years of program management experience in software, AI, or other deeply technical environments
• Track record of producing executive-quality updates and driving alignment in writing
• Background as a software engineer, AI/ML engineer, or in an adjacent technical role
• Working knowledge of modern AI systems — LLMs, agentic frameworks, ML pipelines — and/or robotics and autonomy stacks
• Experience working with or inside technology partnerships (joint engineering, co-development, vendor/partner integrations)
• Experience building and running programs that require cross-org collaboration and support from leadership.
• A genuine passion for product roadmaps shaped by AI capabilities.