Staff Product Data Manager AI Platforms & Systems Solutions

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$179,200–$268,800 / yr
Posted
28 days ago
Freshness
Confirmed live yesterday
Closes
Feb 10, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $224k
$164k most similar roles pay here $280k

This role pays more than 65% of similar roles. Most pay $187,762–$243,950 — the shaded band above. At the midpoint, this role pays about $224k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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At a glance

TL;DR · Staff Product Data Manager AI Platforms & Systems Solutions

Staff, Product Data Manager (PDM) joins the AI Platforms & Systems Solutions team to drive the product strategy, definition, and lifecycle for AI platform products and specifications. This role focuses on the Windows AI ecosystem, where you will manage everything from AI/ML model enablement and agentic systems to orchestration runtimes and open protocols across local accelerators like CPU, GPU, and NPU. You will develop plans of record, including schedules and requirements, while translating complex technical trends into shippable products and ratifiable specifications. Key technologies include the Windows edge-AI stack, DirectX, WinML, OpenCL, and GGML, alongside middleware like llama.cpp and Ollama. You will also work with LLM/VLM models such as Llama and Gemma to optimize performance, power, and latency for on-device and hybrid computing environments across various hardware tiers.

What you'll do

  • Define the product strategy, roadmap, and lifecycle for AI platform products and specifications across the Windows ecosystem.
  • Develop and execute plans of record including schedules, resources, deliverables, and risk management for AI technologies.
  • Own the product definition for model enablement, agentic frameworks, orchestration runtimes, and associated communication protocols.
  • Author and evolve technical specifications while driving adoption through standards bodies and industry consortia.
  • Translate complex market trends and customer feedback into actionable roadmap changes and differentiated product features.
  • Deliver technical presentations on product roadmaps to customers, partners, and senior leadership.
  • Market new products and technologies through developer events, conferences, and direct engagement channels.
  • Ensure engineering teams meet defined KPIs, conformance criteria, and specifications during the development lifecycle.

What we're looking for

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or a related technical field.
  • 5+ years of Product Management or related work experience (advanced degrees may substitute for up to two years).
  • Experience delivering Windows-based AI products using local accelerators like CPU, GPU, and NPU (preferred).
  • Knowledge of edge device APIs/DDIs, SDKs, and app-to-silicon flows such as DirectX, WinML, OpenCL, or GGML.
  • Familiarity with AI middleware and frameworks including llama.cpp, Ollama, and AnythingLLM.
  • Understanding of LLM/VLM models in the 1B–150B range and their performance trade-offs on edge devices (preferred).
  • Experience authoring technical specifications or contributing to industry standards through consortia or bodies (preferred).
  • 3+ years experience in a large, matrixed organization; 2+ years managing project financials or negotiating third-party agreements (preferred).

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