$227,700 - $341,500 USD yearly
Originally posted 7 January 2026 by the employer.
About the role
This Senior Director of Product Management reports to the Senior Vice President and General Manager of Qualcomm's Wearables and Security Solutions (WSS) Business Unit, driving product definitions and business strategy for wearable AI-agentic devices. The scope covers technology IP roadmaps across Voice & Music, Wearables, Security, and Personal AI devices including smart glasses, watches, pendants, and pins.
What you'll do
- Define technology IP roadmaps across Voice & Music, Wearables, Security, and Personal AI in collaboration with engineering and core technology teams. - Lead the business for wearable AI-agentic devices, establishing software product requirements and targeted device architectures. - Define multi-device architecture to enable resource and capability sharing across devices. - Partner with executive leadership to establish go-to-market strategies addressing power consumption and machine learning processing capabilities. - Direct cross-functional teams to execute product roadmaps and deliver strategic business and technical goals. - Engage with top customer executives, ecosystem partners, joint ventures, and strategic acquisition targets.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or a related field. - 10+ years of Product Management or related work experience. - Experience managing multi-device architecture requirements and end-to-end product roadmaps. - Proven track record collaborating with executive stakeholders, engineering teams, and customer leadership.
Nice to have
- MBA or Master’s degree in Engineering, Physics, Mathematics, or a related technical field of study. - 5+ years of experience in the AI/Machine Learning technology sector within or related to the semiconductor industry. - 20+ years of experience in Mobile, Voice, Music, Wearable, or IoT market segments within or related to the semiconductor industry.
Skills: product roadmap, go-to-market strategies, AI/Machine Learning, wearable AI, multi-device architecture