Qualcomm
Staff Manager, Product Management — Customer Strategy & Solution, Data Center Custom Silicon
$208K–$312K
San Jose, California · On-site · Staff · Full-time · Posted Sep 17, 2026
- Experience
- 5+ years of Product Management or related work experience; relevant completed advanced degrees may substitute for up to two years (Master’s = one year, Doctorate = two years). Preferred: 8+ years of semiconductor industry experience.
- Education
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
About the job
Defines customer strategies and solution plans for custom silicon opportunities, aligning customer requirements with Qualcomm’s platform capabilities and cross-functional execution.
What you'll do
- Translate customer priorities and technical requirements into solution recommendations, product requirements, roadmap inputs, and execution plans.
- Coordinate cross-functional teams to assess opportunities, resolve scope and feature trade-offs, and support qualification, investment, and design-win strategies.
- Lead solution definition for customer engagements and support pricing inputs, commercial assumptions, executive reviews, and customer discussions.
What they ask for
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 5+ years of Product Management or related work experience.
- Completed advanced degrees in a relevant field may substitute for up to two years of work experience (Master’s = one year, Doctorate = two years).
Nice to have
- MBA or advanced technical degree.
- 8+ years of semiconductor industry experience in relevant roles; experience with hyperscale cloud providers, AI infrastructure companies, strategic semiconductor customers, or customer-facing solution teams.
Pay
$208,200.00 - $312,200.00 (USD; base salary)
Tools
custom silicon, connectivity, chiplet, packaging, memory, compute, AI infrastructure, data center systems
AI focus
Shapes customer strategies and solution plans for custom silicon opportunities in next-generation hyperscale AI infrastructure.
Model-written summary · the original posting is authoritative