Staff Product Manager - Qualcomm Insight Platform

Product Management Leader

Qualcomm is seeking a Product Management leader to help drive the strategy, roadmap, and execution of the Qualcomm Insight Platform (QIP)our end-to-end AI-based video analytics and VSaaS platform spanning edge, on-prem, and cloud deployments.

As a team member of QIP Product Management, you will be responsible for assisting in defining product vision, translating customer and go-to-market requirements into scalable platform capabilities, and driving cross-functional execution across engineering, go-to-market, sales, and ecosystem partners. This role requires deep domain expertise in video analytics, physical security, and AI-driven software platforms, and will work in lock-step with the GTM Lead role within the same organization.

This is a highly visible, high-impact role with direct influence on Qualcomm's enterprise growth strategy across public safety, smart spaces, retail, and industrial markets.

Principal Duties and Responsibilities

Product Strategy & Vision

• Define and own the product vision, platform strategy, and multi-year roadmap for QIP, spanning edge analytics, VSaaS capabilities, AI model lifecycle, and enterprise scalability.
• Lead market and customer discovery to identify unmet needs across physical security, video analytics, and smart-space use cases.
• Establish clear north-star product metrics aligned to customer value, platform adoption, and revenue outcomes.
• Ensure coherent positioning of QIP across standalone platform, partner-led, and solution-led deployments.

Platform & Roadmap Ownership

• Own end-to-end product lifecycle management: requirements definition, prioritization, release planning, launch readiness, and post-launch iteration.
• Translate GTM inputs, customer feedback, and field learnings into actionable product requirements and roadmap trade-offs.
• Drive architectural decisions across edge vs. cloud analytics, data pipelines, AI model orchestration, and multi-tenant security.
• Balance platform scalability with vertical-specific differentiation (e.g., public safety, retail analytics, smart spaces).

Cross-Functional Execution

• Partner closely with Engineering to drive execution excellence, delivery predictability, and architectural rigor.
• Collaborate deeply with the GTM Lead to ensure alignment between product capabilities, market messaging, and sales execution.
• Coordinate across Design, Sales, Customer Engineering, and Legal to ensure enterprise-grade readiness (security, privacy, compliance, SLAs).
• Serve as the product decision-maker when navigating trade-offs between customer urgency, platform integrity, and long-term scalability.

Customer & Partner Engagement

• Act as a senior product interface for strategic customers, partners, and lighthouse accounts.
• Support deal validation, architecture reviews, and executive-level discussions where product clarity is critical.
• Partner with ecosystem players (cameras, edge hardware, ISVs, SIs) to ensure seamless QIP integrations and extensibility.

This will be an office based position in Qualcomm's Santa Clara office and will be expected to comply with the company's onsite work policy.

Minimum Qualifications

Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.

5+ years of Product Management or related work experience.

Preferred Qualifications

• Bachelor's degree in Engineering, Computer Science, or related technical field.
• MBA or advanced technical degree.
• 8+ years of product management experience in B2B software, enterprise platforms, or AI-driven systems.
• 5+ years of direct experience in video analytics, physical security, computer vision, or VSaaS platforms.
• Proven track record of owning complex, multi-tenant platforms used by enterprise or government customers.
• Strong ability to translate technical capabilities (AI inference, video pipelines, metadata, privacy) into customer-centric product decisions.
• Excellent communication and stakeholder management skills across engineering, sales, and executive audiences.
• Experience building or scaling cloud-plus-edge video analytics platforms.
• Familiarity with competitive landscapes including Verkada, Eagle Eye Networks, Rhombus, or similar platforms.
• Experience with AI model lifecycle management, analytics pipelines, and enterprise SaaS metrics.
• Background working with building security, public safety, retail, healthcare, manufacturing, or industrial customers.
• Demonstrated success operating in fast-moving, highly cross-functional environments.

Pay range and Other Compensation & Benefits :

$205,000.00 - $307,600.00