HPE
Frontier AI Product Owner & Program Leader
$140K–$321K
Spring, Texas, United States of America +2 · Full-time · Posted Oct 28, 2026
- Location
- Spring, Texas, United States of America
Frisco, Texas, United States of America
Reston, Virginia, United States of America - Experience
- 10+ years in cybersecurity domains; significant Agile product, program, or delivery leadership experience is required. Prior AI program leadership is preferred, not required.
- Education
- Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, Business, or a related field, or equivalent practical experience.
About the job
Owns the roadmap and delivery of HPE’s Frontier AI cybersecurity program, initially scaling AI-enabled product security testing and integrating it into the secure development lifecycle.
What you'll do
- Set roadmap priorities and establish Agile planning, delivery, and measurement across technical workstreams.
- Coordinate end-to-end delivery and business-unit adoption, including testing, validation, remediation, and retesting.
- Track outcomes, risks, dependencies, and investment; provide executive reporting and surface decisions needed.
What they ask for
- 10+ years of experience in cybersecurity domains.
- Significant experience as an Agile product owner, program leader, or delivery leader for complex enterprise cybersecurity initiatives, with responsibility for roadmaps, backlogs, prioritization, incremental delivery, and outcomes.
- Demonstrated use of Agile product and delivery practices across multiple cybersecurity domains.
- Working knowledge of AI and emerging AI capabilities, plus ability to influence senior leaders and technical teams without direct authority.
Nice to have
- Hands-on interest or experience with LLMs, AI coding assistants, or agentic workflows.
- Prior experience leading an AI program is preferred but not required.
Pay
USD 140,000 - 321,000 annual base salary (Texas & Virginia)
Tools
LLMs, AI coding assistants, agentic workflows
AI focus
Scale AI-enabled product security testing, integrate it into the secure development lifecycle, and potentially apply Frontier AI to other cybersecurity use cases.
Model-written summary · the original posting is authoritative