Sr. Manager, Product Management - CA, Santa Clara, United States
Originally posted 15 October 2026 by the employer.
About the role
This role involves defining, championing, and evangelizing market-leading Instinct hardware solutions within the Datacenter GPU product management team. You will drive the product value proposition at the datacenter design level, translating workload and system requirements into performance, power, TCO, and pod-level targets.
What you'll do
- Drive understanding of customer technical and business requirements to establish targets and priorities for the Instinct portfolio and define the product roadmap.
- Own the product strategy, positioning, roadmap, lifecycle management, and go-to-market plans.
- Build and improve each product business case in collaboration with stakeholders to optimize the portfolio and develop pricing strategies.
- Develop product phase gate review materials with organizational stakeholders to capture strategic and tactical decision points.
- Effectively communicate the product value proposition, positioning, and strategy to internal and external stakeholders via compelling product collateral.
- Be the domain knowledge expert in HPC, AI, and networking, driving business-centric product decisions.
What you'll need
- 6+ years in hardware product management or equivalent cross-functional leadership role delivering complex semiconductor or datacenter systems (ASICs, GPUs, NPUs, FPGAs, or system boards).
- Prior experience at a GPU or datacenter accelerator vendor or at major OEMs/hyperscalers in hardware product roles.
- Deep market and customer knowledge for datacenter AI infrastructure: hyperscalers, cloud providers, OEMs/ODMs, HPC centers, and large enterprise customers.
- Direct ownership of hardware PRDs and hands-on experience driving phase-gates from concept, to plan, development, launch, sustaining production, and EOL.
- Proven experience creating and maintaining hardware-focused business cases (price-performance, TCO, BOM/cost models).
- BS in Electrical Engineering, Computer Engineering.
Nice to have
- MBA preferred.
- Familiarity with datacenter workload characteristics and how they translate to hardware value propositions (largescale model training, inference at scale, HPC workloads).
Skills: product roadmap, go-to-market, datacenter GPU, AI infrastructure, hardware product management, hyperscalers
This role has been open 0 days — well below the 44-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
66
|
Median days open
44 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (66 roles · 21 employers) |
|---|---|---|
| Open roles in this specialty | 8 | 66 |
| Median days open | 49 d | 44 d (+5 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: product roadmap, go-to-market, datacenter GPU, AI infrastructure, hardware product management, hyperscalers
Who's hiring in this category
- NVIDIA · 21 open roles · median 41 d
- Qualcomm · 10 open roles · median 63 d
- AMD (this employer) · 7 open roles · median 48 d
- NXP Semiconductors · 4 open roles · median 14 d
- Analog Devices · 3 open roles · median 33 d
- Intel Corporation · 2 open roles · median 33 d
How we counted: 66 open Product Management (AI ML Hardware) roles from 21 employers tracked in the SemiconductorJobs index, counted 15 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.