AI Co-Innovation Engineering Program Manager

Jobtailor

Kentucky

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Jobtailor is seeking an experienced Senior AI Program Manager to drive multi-team programs, align cross-functional stakeholders, and deliver measurable business impact. The role requires deep technical insight in AI systems and collaboration with engineering, product, and R&D teams.

You will define objectives, run communications, and shepherd decisions to closure while leveraging OKRs and KPIs. A strong background in software/AI engineering and cross-industry partnerships is essential for

Qualifications

  • Bachelor's Degree in CS, Engineering, Data Science, or equivalent
  • 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 building and running programs that require cross-org collaboration and support from leadership

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

Skills

Program management
Executive communication
Cross-functional collaboration
AI/ML background
Technical feasibility assessment

Education

Bachelor's degree in CS/Engineering/Data Science/or related
Bachelor's degree in relevant field

Job description

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
Requirements
  • 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.
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