HPE
Principal Product Line Manager – Campus Switching
$172K–$349K
Roseville, California, United States of America · Principal · Full-time · Posted Jul 16, 2026
- Experience
- 12+ years; experience may be in product management, product line management, technical marketing, engineering, or related roles.
- Education
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
About the job
Leads strategy, roadmap planning, portfolio management, and business performance for HPE Campus and Branch Switching products across hardware, software, silicon, and AI-driven networking.
What you'll do
- Own multi-year product roadmaps and lifecycle management from concept through end-of-life.
- Develop portfolio and business strategies, business cases, market analyses, pricing, and investment recommendations.
- Align cross-functional teams and engage customers, partners, analysts, and executives to guide product direction.
What they ask for
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
- 12+ years in product management, product line management, technical marketing, engineering, or related roles for enterprise networking, cloud networking, silicon, or infrastructure products.
- Deep domain experience in enterprise networking; proven success leading complex infrastructure products or platforms through launch and lifecycle.
- Experience leading cross-functional initiatives and understanding Ethernet switching, Layer 2/Layer 3 networking, campus architectures, and network fabrics.
Nice to have
- MBA and/or advanced engineering degree.
- Experience with networking silicon, cloud-managed networking, AIOps, automation, network assurance, or AI-driven operations.
Pay
USD 172,000 - 349,000 (base salary)
Tools
ASIC, AOS-CX, Ethernet, Layer 2/Layer 3 networking, AIOps, intent-based networking, network fabrics, cloud-managed networking
AI focus
Evaluates AI networking trends and drives AI-driven networking capabilities, including AIOps, agentic operations, intent-based networking, predictive assurance, autonomous remediation, and AI-driven lifecycle management.
Model-written summary · the original posting is authoritative