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Director, Product Management – Qualcomm Insight Platform (QIP)
San Diego, California, United States of America; Santa Clara, California, United States of America
·
On-site
·
Full-time
·
3w ago
Company:
Qualcomm Technologies, Inc.
Job Area:
Operations Group, Operations Group > Product Management
General Summary:
Qualcomm is seeking a Product Management leader to own 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 the QIP Product Management lead, you will be responsible for 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.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
- 8+ 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.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$196,000.00 - $294,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
2.5
Career
3.0
Management
2.5
Pros
Good work-life balance
Real engineering work with technical challenges
Good compensation
Cons
Slow processes and bureaucracy
Poor management and planning
Cross-team dependencies and alignment issues
Salary Ranges
1 data points
Junior/L3
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager
0 reports
$176,900
total / year
Base
-
Stock
-
Bonus
-
$150,365
$203,435
Interview Experience
8 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Onsite
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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