Director, AI Product Management - Data Center Business Unit
Qualcomm · San Diego, United States · 9d ago
Company:
Qualcomm Technologies, Inc.Job Area:
Operations Group, Operations Group > Product ManagementGeneral Summary:
Key Responsibilities:
- 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 emerging system-level trends (e.g., large language models, inference at scale, rack-scale orchestration).
- Collaborate with silicon architects, systems engineers, firmware and software teams to translate market and 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 early deployments of rack-scale AI clusters.
- Partner with marketing and sales leadership to craft compelling value propositions, competitive positioning, launch plans and go-to-market collateral.
- Mentor and grow a high-performing team of product managers, fostering a culture of innovation, customer obsession, and rigorous decision-making. T
- rack product performance post-launch—covering system-level metrics like power efficiency, thermal headroom, and network utilization—iterating on features, pricing, and lifecycle management to maximize ROI and market share
This is an office-based position located in San Diego, CA and is expected to adhere to the company's onsite work policy.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.• 8+ years of Product Management or related work experience.
Preferred Qualifications:
- Ph.D. in Computer Architecture, Data Center Systems, Machine Learning Systems or related field.
- Direct experience with AI frameworks (TensorFlow, PyTorch), compilers and optimization toolchains.
- Familiarity with emerging data center trends such as 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.
- 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 (power delivery, cooling, cabling, rack orchestration).
- Demonstrated success defining and launching complex silicon-plus-software AI products and rack-scale solutions in collaboration with cross-functional development teams.
- Proven ability to engage with C-level executives and engineering leads at hyperscale cloud providers or tier-1 enterprise customers.
- Strong analytical skills, comfortable with financial modeling, market sizing, and competitive benchmarking.
- Excellent communication and storytelling abilities—able to translate technical detail into clear business impact.
- Track record of leading and mentoring product management teams, fostering career growth and cross-functional collaboration
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Pay range and Other Compensation & Benefits:
$198,200.00 - $297,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.