Drimva

Qualcomm

Senior Director, Head of Enterprise Strategy - Compute

$238K–$357K

San Diego, California · On-site · Director · Full-time · Posted Oct 26, 2026

Experience
10+ years of Product Management or related work experience required; preferred qualifications include 12+ years, 4+ years in a large matrixed organization, 2+ years with operating budgets and/or project financials, and 2+ years negotiating 3rd party business agreements.
Education
Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field; preferred: Master’s degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.

About the job

Leads Qualcomm’s end-to-end enterprise technology and product strategy for Snapdragon Compute, translating customer and IT needs into platform requirements, roadmaps, and differentiated solutions.

What you'll do

  • Define enterprise strategy, requirements, and multi-year capability roadmaps for Snapdragon Compute platforms.
  • Translate enterprise and ecosystem needs into MRDs, platform and software requirements, and product roadmap recommendations.
  • Coordinate with customers, OEMs, Microsoft, ISVs, and internal teams to shape and demonstrate enterprise value and technical differentiation.

What they ask for

  • Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
  • 10+ years of Product Management or related work experience.

Nice to have

  • Master’s degree or PhD in a related technical discipline; 12+ years of Product Management or related work experience.
  • Significant experience with enterprise computing platforms and IT requirements, Windows commercial PCs, enterprise security and management, and AI PC architectures.

Pay

$237,800.00 - $356,800.00 USD base salary

Tools

Snapdragon, Microsoft Windows, Microsoft Intune, NPU, CPU, GPU

AI focus

Strategy for AI capabilities and differentiated enterprise experiences, including AI PC architectures, on-device AI, hybrid AI, and Enterprise AI workloads.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)