Product Manager

Qualcomm•Santa Clara, CA

3d•$91,832 - $270,200

About The Position

Plan, initiate, and manage information technology (IT) projects. Lead and guide the work of technical staff. Serve as liaison between business and technical aspects of projects. Plan project stages and assess business implications for each stage. Monitor progress to assure deadlines, standards, and cost targets are met. Develop vision and roadmap for on-device AI models and Software Development Kits (SDK) based on customer needs, market trends, and competitive analysis. Act as the primary interface between engineering, R&D, sales, and marketing teams to ensure product success. Define and prioritize product features to maximize performance, scalability, and usability on edge devices. Work with engineers on performance optimization, model quantization, and cross-platform compatibility. Gather customer feedback, provide demos, and support enterprise adoption for CPU, GPU, and NPU inference. Monitor AI and edge computing trends, identifying opportunities to improve product positioning. Oversee creation of technical and user documentation for the SDK and models. Drive product launches, ensuring effective marketing, sales enablement, and customer onboarding.

Requirements

Bachelor's Degree (or foreign academic equivalent) in Computer Science or related field
Two (2) years of experience in Product Management, Computer Science, Artificial Intelligence, or related field

Responsibilities

Plan, initiate, and manage information technology (IT) projects.
Lead and guide the work of technical staff.
Serve as liaison between business and technical aspects of projects.
Plan project stages and assess business implications for each stage.
Monitor progress to assure deadlines, standards, and cost targets are met.
Develop vision and roadmap for on-device AI models and Software Development Kits (SDK) based on customer needs, market trends, and competitive analysis.
Act as the primary interface between engineering, R&D, sales, and marketing teams to ensure product success.
Define and prioritize product features to maximize performance, scalability, and usability on edge devices.
Work with engineers on performance optimization, model quantization, and cross-platform compatibility.
Gather customer feedback, provide demos, and support enterprise adoption for CPU, GPU, and NPU inference.
Monitor AI and edge computing trends, identifying opportunities to improve product positioning.
Oversee creation of technical and user documentation for the SDK and models.
Drive product launches, ensuring effective marketing, sales enablement, and customer onboarding.