$272,100 - $408,100 USD yearly
Originally posted 19 May 2026 by the employer.
About the role
Lead software product management for Qualcomm's Mobile Handsets business with a focus on AI. The scope spans market requirements collection, product specification, delivery execution, and mobile platform strategy.
What you'll do
- Define and manage handset software requirements for OEMs, software baselining across chipsets and SKUs, and kernel strategy, verification, and quality of release (KOR). - Set and lead the software strategy for Mobile Handsets, determining how AI and software establish competitive advantage. - Extend the handset platform through ecosystem enablement, external technology integration, and platform extensibility across partners. - Define long-term software direction across security and Agentic AI while evaluating build, buy, or acquire decisions. - Embed software strategy into business decision-making with ownership of financial implications, legal considerations, and go-to-market tradeoffs. - Lead and influence the development of scalable software architectures across product management, engineering, and business unit teams.
What you'll need
- Bachelor's degree in Computer/Electrical Engineering, Computer Science, or related technical field. - 15 years of Software Product Management or related technical work experience. - 6 years of leadership experience. - 4 years of working in a large matrixed organization. - 2 years of working with operating budgets and/or project financials. - 2 years of negotiating 3rd party business agreements.
Nice to have
- Master’s degree or PhD in Computer Science or Engineering, or a related technical field of study. - 20 or more years of related professional experience in technology and software product management, with 10 years of leadership experience. - Deep software domain credibility spanning system software, platforms, and developer enablement. - Strong understanding of mobile computing systems, including how CPU, GPU, and NPU capabilities integrate into software solutions. - Fluency in modern AI systems and platforms (e.g., ChatGPT, Gemini, and related toolchains) with the ability to translate AI trends into platform strategy. - Mandarin fluency. - Willingness to travel internationally as needed.
Skills: software product management, handset software requirements, kernel strategy, AI and software, platform strategy, mobile computing systems, CPU, GPU, NPU