Senior Director, AI Product Management - Data Center

Qualcomm; San Diego (CA); On-site; USD 227,700 - 341,500; Full time

Benefits offered by this job

Competitive annual bonuses

RSU grants

Comprehensive benefits package

Job summary

Qualcomm is seeking a Director of Product Management to shape AI-driven data center solutions in San Diego. This role involves defining product strategy, leading market analysis, and collaborating with multiple teams to meet customer needs.

The ideal candidate has over 10 years of Product Management experience with direct knowledge of AI frameworks. This position offers a competitive salary ranging from $227,700 to $341,500, plus additional benefits and bonuses.

Qualifications

• 10+ years of Product Management or related work experience.
• Direct experience with AI frameworks.
• Proven ability to engage with C-level executives.

Responsibilities

• Define and execute product strategy for AI-centric platforms.
• Lead market analysis to identify AI workloads.
• Collaborate with cross-functional teams to translate customer needs.

Skills

Product Management Experience

AI Frameworks

Analytical Skills

Communication Skills

Team Leadership

Education

Bachelor's degree in Engineering or related field

Ph.D. in relevant field (preferred)

Tools

TensorFlow

PyTorch

Job description

General Summary

Join Qualcomm’s rapidly expanding Data Center Business Unit as a Director of Product Management, where you will shape the future of AI-driven data center solutions. You’ll lead cross-functional teams to deliver end-to-end system-level innovations—from custom AI accelerators to full-stack software and rack-scale systems—driving performance, efficiency, and scale for hyperscale and enterprise customers.

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.
• 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.

While there is a strong preference for this position to be based in San Diego, remote work can be considered for the right candidate.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
• 10+ 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.

EEO Employer

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑[e-mail] or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Pay range and Other Compensation & Benefits

$227,700.00 - $341,500.00The 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.