HPE
Senior Engineering and AI Program Manager (Andover, MA and Ft. Collins, CO)
$130K–$268K
Andover, Massachusetts, United States of America +1 · Manager · Full-time · Posted Oct 26, 2026
- Location
- Andover, Massachusetts, United States of America
Ft. Collins, Colorado, United States of America - Experience
- Typically, 6-10 years in engineering experience.
- Education
- Bachelor's or Master's degree in Business Management, Engineering, Computer Sciences, or equivalent.
About the job
Leads cross-functional engineering program management for AI initiatives from planning through deployment, ensuring adoption, measurable outcomes, and delivery within schedule and budget.
What you'll do
- Lead planning, execution, adoption, and outcome tracking for AI innovation and strategic initiatives.
- Manage schedules, deliverables, budgets, resources, and supporting project teams; adjust plans to meet product requirements.
- Communicate progress, escalations, and issue analysis to stakeholders, and coordinate changes with management and internal partners.
What they ask for
- Working knowledge of AI, Generative AI, LLMs, intelligent agents, and emerging AI technologies, and ability to program manage AI initiatives from concept through deployment.
- Demonstrated experience leading cross-functional programs involving emerging technologies, including stakeholder coordination, roadmaps, outcomes, and adoption.
- Ability to translate technical AI concepts into actionable business and operational plans.
- Strong analytical, problem-solving, communication, and program management skills; business acumen and experience directing matrixed teams and resources.
Nice to have
- PMP/PMI certification.
- Experience with AI innovation programs, performance engineering or analytics, or a Performance Center of Excellence (COE).
Pay
USD 130,500 - 247,500 in Colorado (base salary); USD 140,500 - 267,500 in Massachusetts (base salary)
Tools
AI, Generative AI, LLMs, intelligent agents
AI focus
Program-manage AI innovation and strategic initiatives from concept through deployment, including planning, execution, adoption, and measurable business outcomes.
Model-written summary · the original posting is authoritative