Staff Product Manager, AI Product Management - Data Center Business Unit
$179,200 - $268,800 USD yearly
Originally posted 11 August 2026 by the employer.
Define and deliver innovative AI infrastructure products, from accelerators and software to rack-scale systems.
About the role
This role involves defining and delivering innovative AI infrastructure products, from accelerators and software to rack-scale systems. You will focus on AI-centric data center platforms and infrastructure components.
What you'll do
- Drive product definition and execution for AI-centric data center platforms and infrastructure components.
- Gather and analyze customer, market, and competitive requirements to identify product opportunities and priorities.
- Partner with silicon architects, hardware, firmware, and software teams to translate customer needs into product requirements.
- Support system-level planning across compute, memory, networking, power, cooling, and rack-scale infrastructure.
- Engage directly with hyperscale cloud providers, enterprise customers, and ecosystem partners.
- Coordinate cross-functional execution from concept through product launch.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 5+ years of Product Management or related work experience.
Nice to have
- 6 years of product management experience in semiconductors, AI infrastructure, data center systems, networking, or related technology areas.
- Understanding of AI accelerators, CPUs, GPUs, memory subsystems, high-speed interconnects, storage technologies, or data center architectures.
- Experience defining product requirements and working closely with engineering teams.
- Ability to engage with customers and translate technical requirements into business and product objectives.
- Analytical and problem-solving skills with experience evaluating market opportunities and competitive landscapes.
- Written and verbal communication skills with the ability to present complex technical concepts.
- Experience with AI/ML workloads, large language models, or cloud-scale infrastructure.
- Familiarity with technologies such as PCIe, CXL, Ethernet, InfiniBand, UAL, HBM, LPDDR, or large-scale system architectures.
- Experience working with hyperscale cloud providers, OEMs, or strategic technology partners.
- Understanding of AI software ecosystems, frameworks, compilers, or optimization toolchains.
- Technical publications, patents, or demonstrated contributions to technology products.
Skills: product definition, AI-centric data center platforms, market requirements, roadmap, go-to-market
This role has been open 67 days — well above the 43-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
70
|
Median days open
43 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (70 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 70 |
| Median days open | 66 d | 43 d (+23 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: product definition, AI-centric data center platforms, market requirements, roadmap, go-to-market
Who's hiring in this category
- NVIDIA · 22 open roles · median 31 d
- Qualcomm (this employer) · 10 open roles · median 65 d
- AMD · 8 open roles · median 50 d
- NXP Semiconductors · 4 open roles · median 16 d
- Analog Devices · 3 open roles · median 35 d
- SambaNova · 3 open roles · median 37 d
How we counted: 70 open Product Management (AI ML Hardware) roles from 22 employers tracked in the SemiconductorJobs index, counted 17 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.