Staff/Director Compute Chipset Product Manager
Qualcomm
- Location
- San Diego, California, United States of America
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 22 approvals (FY2023)
- Posted
- Sep 8, 2026
Skills
About this role
Company: Qualcomm Technologies, Inc. Job Area: Operations Group, Operations Group > Product Management General Summary: Qualcomm is a company of inventors that helped unlock 5G, accelerating connectivity and creating new possibilities that can transform industries, generate jobs, and enrich lives. This is only the beginning. Realizing 5G’s full potential requires inventive minds with diverse skills, backgrounds, and perspectives to create world-changing technologies and products. This is the Invention Age—and this is where you come in. The Compute Chipset Product Management team is part of QCT’s Product Management organization. The team manages the Windows on Snapdragon portfolio, which includes Snapdragon products used in laptops, notebooks, all-in-one devices, and other compute form factors. The team’s objective is to synthesize and prioritize technical requirements, define the compute product and technology portfolio strategy, and build a roadmap that enables QCT to sustain technology, product, and business leadership. Portfolio development reflects technology evolution, standardization efforts, partnerships, changes in device engineering and testing processes, market and product requirements, business opportunities, and the competitive landscape. This role leads compute chipset products through the full product lifecycle. Responsibilities include assessing market requirements, defining product positioning and feature specifications, partnering with engineering to evaluate technology trade-offs, developing business case justifications, and working with OEMs to secure portfolio design-ins and enable successful device launches. Principal Requirements and Responsibilities Deep understanding of the PC processor market, including desktops, laptops, all-in-ones, small form factor devices, key processor vendors, OEMs, ODMs, channel partners, laptop market requirements, performance expectations, competitive dynamics, and industry trends. Lead the end-to-end PC chipset processor product strategy from concept and definition through execution and end of life. Identify gaps in the PC market through rigorous analysis of market, customer, technology, and ecosystem needs, and use those insights to guide product design and definition discussions. Develop and promote strategies that leverage new technologies, industry trends, and disruptive approaches to grow Snapdragon share across laptops, desktops, all-in-ones, and other compute categories. Guide teams involved in the design, modification, and evaluation of all phases of a specific product or product family. Own the PC chipset product across the full lifecycle, including product modifications, upgrades, maintenance, and end-of-life planning. Lead cross-functional collaboration on business cases for new, complex products, validating alignment with business direction and roadmap priorities. Market complex products and technologies through technical marketing opportunities, including conferences, industry events, direct customer engagement, and product launch activities. Prepare and deliver advanced technical presentations that explain the product roadmap and demonstrate managed products to customers. Translate customer feedback and external market signals into potential roadmap changes and communicate recommendations to senior leaders, including GM and executive staff. Independently direct and oversee development of complex products, new product areas, and services while maintaining communication across functional teams. Hold self and teams accountable for staying current on competitors, technology advances, and the product ecosystem, while leading innovation to articulate product differentiation and identify emerging trends. Stay current on the latest AI technology trends—including LLM architectures, model optimization, on-device and hybrid AI deployment models, AI software stacks, developer ecosystems, workload requirements, and external AI accelerator attach