Hiring.Camp

Senior Director, AI Product Management

Qualcomm

·

May 4, 2026

Salary
$258k – $387k
Location
Vancouver, WA,US, US
Type
Full-time
Department
IT
Seniority
Senior
Experience
5+ years
Education
PhD
Source
Eightfold

Description

##

Company:

Qualcomm Technologies, Inc.

## Job Area:

Operations Group, Operations Group > Product Management

General Summary:

This position will be responsible for bringing data center operations and hyperscalers qualification related requirements into the roadmap. It will own the commercialization of one of the largest hyperscaler projects from the perspective of requirements and roadmap.

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

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

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 [email protected] or call Qualcomm's toll-free number found here. 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).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$257,700.00 - $386,500.00

The 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.

Skills

Machine LearningTensorFlowPyTorchFinancial Modeling

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