Sr. Director Product Management

Technology, Data & Digital · Product & Design · Product Management · Artificial Intelligence · Software Engineering

In short

Sr. Director of Product Management responsible for AI Platforms & Systems Solutions, defining end-to-end hardware-software solutions for next-generation on-device and hybrid AI on the Windows ecosystem. This role requires leading a product team, developing long-term roadmaps, and driving product strategy from conception to end-of-life. Strong technical focus on AI/ML models, agentic systems, orchestration, protocols/standards, and the Windows Edge AI ecosystem.

Responsibilities

  • Direct a comprehensive product strategy from conception and definition through end of life for AI platform products and specifications.
  • Build and lead a high-performing product team, formulate and execute long-term roadmaps for cost and profit control.
  • Function as a central resource across systems, engineering, standards, quality, marketing, and partner teams.
  • Set direction, grow talent, and be accountable for portfolio outcomes.
  • Translate emerging model, agentic, and orchestration trends across the Windows edge-AI stack into a differentiated product and specification roadmap.
  • Oversee successful cross-functional collaboration and ensure completion of milestones by engineering and program-management partners.
  • Review identified gaps in the market and make portfolio decisions impacting product and specification roadmaps.
  • Drive product-line and specification launch strategies for new Windows-ecosystem AI products and technologies.
  • Monitor the market to validate product and specification roadmaps and translate insights into adjustments.
  • Drive long-term innovation and IP strategy, including patents and standards contributions.

Requirements

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
  • 10+ years of Product Management or related work experience.
  • Full-time onsite work in San Diego, CA (5 days per week).
  • Depth in AI/ML Models, Agentic Systems, Orchestration, Protocols & Standards, Windows & Edge AI Ecosystem, and Product & Specification Development.
  • Hands-on experience delivering Windows ecosystem-based AI products/services utilizing local AI accelerators (CPU, GPU, or NPU).
  • Detailed understanding of AI-related APIs/DDIs and SDKs for edge devices (Windows preferred).
  • Understanding of AI middleware and frameworks such as llama.cpp, Ollama, and AnythingLLM.
  • Understanding of LLM/VLM models in the ~1B–150B parameter range and their edge trade-offs.

Desired Qualifications

  • 15+ years of Product Management or related technical work experience.
  • Advanced degree (MS or MBA) in a technical or business discipline preferred.
  • Direct experience defining or shipping Windows-ecosystem AI/ML platforms, inference runtimes, agentic frameworks, or orchestration systems on local accelerators (CPU, GPU, NPU).
  • Familiarity with AI middleware/frameworks (llama.cpp, Ollama, AnythingLLM) and the AI app development flow.
  • Working knowledge of LLM/VLM models in the ~1B–150B range and their edge trade-offs; Qwen, Llama, Gemma, gpt-oss families preferred.
  • Experience authoring or contributing to technical specifications, protocols, or industry standards.
  • 5+ years of people-leadership experience, including hiring, developing, and retaining technical talent.
  • 4+ years working in a large, matrixed organization.
  • 2+ years working with operating budgets and/or project financials.
  • 2+ years negotiating third-party business agreements or partnerships.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support your success at work, at home, and at play.
#AI#Machine Learning#Product Management#Edge AI#Windows
Qualcomm Logo

Company

Qualcomm

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Executive

Locations

San Diego, United States of America

Qualification

Bachelor, Master, Diploma, Doctoral

Applicants

Be an early applicant