Senior Director, AI Product Management - Data Center
$257,700 - $386,500 USD yearly
Originally posted 4 May 2026 by the employer.
About the role
This role is responsible for bringing data center operations and hyperscalers qualification requirements into the product roadmap, owning the commercialization of hyperscaler projects from requirements through execution. The position defines and executes product strategy for AI-centric data center platforms and rack-level systems.
What you'll do
- Define and execute the product strategy and roadmap for AI-centric data center platforms and rack-level systems, including compute nodes, interconnect fabrics, power delivery, and cooling subsystems. - Lead market analysis to identify AI workloads and system-level trends such as large language models, inference at scale, and rack-scale orchestration. - Collaborate with silicon architects, systems engineers, firmware, and software teams to translate customer needs into detailed product requirements and rack-level integration specifications. - Engage directly with hyperscale cloud providers, enterprise customers, and strategic partners to gather feedback, co-develop proofs of concept, and drive deployments of rack-scale AI clusters. - Partner with marketing and sales leadership on value propositions, competitive positioning, launch plans, and go-to-market execution. - Track post-launch system-level metrics including power efficiency, thermal headroom, and network utilization, managing feature iterations, pricing, and lifecycle management.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or a related field. - 10+ years of Product Management or related work experience.
Nice to have
- Ph.D. in Computer Architecture, Data Center Systems, Machine Learning Systems, or related field. - 12 years of product management experience, with at least 5 years focused on data center or AI infrastructure. - Deep system-level knowledge of AI accelerators, CPU/GPU architectures, interconnect fabrics (PCIe, CXL, UAL), memory hierarchies, storage subsystems, and rack-level system design. - Direct experience with AI frameworks (TensorFlow, PyTorch), compilers, and optimization toolchains. - Familiarity with disaggregated architectures, DPUs, or AI inference at the edge. - Patent filings or technical publications in AI accelerator design, high-performance interconnects, rack-scale architectures, or thermal/power management.
Skills: Product Strategy, AI-centric Data Center Platforms, Rack-level Systems, AI Workloads, Hyperscale Cloud Providers
This role has been open 173 days — well above the 45-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
69
|
Median days open
45 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 (69 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 69 |
| Median days open | 73 d | 45 d (+28 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: Product Strategy, AI-centric Data Center Platforms, Rack-level Systems, AI Workloads, Hyperscale Cloud Providers
Who's hiring in this category
- NVIDIA · 22 open roles · median 36 d
- Qualcomm (this employer) · 10 open roles · median 73 d
- AMD · 7 open roles · median 58 d
- NXP Semiconductors · 4 open roles · median 24 d
- Analog Devices · 3 open roles · median 43 d
- Micron Technology · 3 open roles · median 45 d
How we counted: 69 open Product Management (AI ML Hardware) roles from 22 employers tracked in the SemiconductorJobs index, counted 25 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.