Director of AI Software Platforms & Ecosystem Strategy

MaC VC

San Diego (CA)

On-site

USD 198,000 - 297,000

Full time

5 days ago
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Benefits offered by this job

Discretionary bonus
RSU grants
Comprehensive benefits

Job summary

Qualcomm Technologies, Inc. seeks a seasoned Product Manager to steer the AI software strategy for Windows AI platforms, AI PCs, ONNX Runtime, and edge AI across CPU/GPU/NPU.

You will own the roadmap, define requirements, and drive ecosystem engagement from concept to deployment. Ideal candidates bring 8+ years in product leadership, strong expertise in AI frameworks, developer tooling, and cross‑functional collaboration with engineering, partners, OEMs, ISVs, and Microsoft to deliver

Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
  • 8+ years of Product Management or related work experience.
  • Completed advanced degrees in a relevant field may substitute for up to two years of work experience.

Responsibilities

  • Define and own the AI software product roadmap for AI PCs and edge AI platforms, spanning inference runtimes, frameworks, developer tools, and ecosystem integrations.
  • Develop long-term strategy for ONNX Runtime, Windows AI software enablement, and heterogeneous acceleration technologies.
  • Identify emerging market opportunities and technology trends in GenAI, Agentic AI, multimodal AI, and AI-powered productivity experiences.
  • Establish product requirements and success metrics aligned with customer needs and business goals.

Skills

AI software
Roadmap definition
Cross-functional leadership
ONNX Runtime
Windows AI
Agentic AI
Edge AI
CPU/GPU/NPU acceleration
Ecosystem engagement
Developer tooling

Education

Bachelor's degree in Engineering/CS/related

Tools

PyTorch
ONNX
RoCm
Hugging Face
OpenVINO
TensorRT
CoreML

Job description

Qualcomm Technologies, Inc. seeks a seasoned Product Manager to steer the AI software strategy for Windows AI platforms, AI PCs, ONNX Runtime, and edge AI across CPU/GPU/NPU.

You will own the roadmap, define requirements, and drive ecosystem engagement from concept to deployment. Ideal candidates bring 8+ years in product leadership, strong expertise in AI frameworks, developer tooling, and cross‑functional collaboration with engineering, partners, OEMs, ISVs, and Microsoft to deliver

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