Drimva

HPE

Product Strategy Leader - Enterprise Wireless

$194K–$412K

Cupertino, California, United States of America +1 · Full-time · Posted Aug 6, 2026

Location
Cupertino, California, United States of America
Sunnyvale, California, United States of America
Experience
10+ years in Product Management, Network Engineering, Technical Product Leadership, or related roles.
Education
Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.

About the job

Defines and delivers product strategy for AI-native self-driving enterprise wireless networks, turning customer networking challenges into automated, cloud-managed capabilities.

What you'll do

  • Set product vision, roadmap, business cases, and investment priorities for self-driving wireless networking.
  • Engage customers, analyze network issues, and validate product concepts through prototypes and feedback.
  • Partner with engineering and AI/ML teams to deliver capabilities for automation, observability, troubleshooting, and network optimization.

What they ask for

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
  • Deep expertise in enterprise WLAN technologies and wireless networking architectures.
  • Strong understanding of cloud-managed networking platforms and network operations.
  • Hands-on experience troubleshooting complex networking environments.

Nice to have

  • Experience with AI-native networking platforms and AI-driven operations.
  • Familiarity with automation frameworks, APIs, and infrastructure-as-code concepts.

Pay

USD 194,000 - 412,500 annual base salary (California, United States of America)

Tools

AI, machine learning, enterprise WLAN, cloud-managed networking, RF technologies, network automation, packet captures, APIs

AI focus

Champion AI and machine learning for network operations, troubleshooting, remediation, optimization, predictive insights, automated root-cause analysis, anomaly detection, and intelligent recommendations.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)