招聘
Director, Product Management – Industrial & Embedded IoT, Edge AI On‑Prem Appliance GTM Lead

Director, Product Management – Industrial & Embedded IoT, Edge AI On‑Prem Appliance GTM Lead
San Diego, California, United States of America
·
On-site
·
Full-time
·
2mo ago
必备技能
Go
Company:
Qualcomm Technologies, Inc.
Job Area:
Operations Group, Operations Group > Product Management
General Summary:
Qualcomm is a global leader in connected intelligent edge, focusing on AI, edge computing and connectivity. Our fast‑growing Industrial and Embedded IoT (IE‑IoT) BU leads the transformation of industries through intelligent edge solutions that combine connectivity, compute, and AI. We expand our global talent in applied edge AI to support our customers’ digital transformation across many verticals and industries.
AI on‑prem Appliance is a new product line under IE‑IoT BU. This advanced AI solution is designed for generative AI inference and computer vision workloads on dedicated on‑premises hardware—allowing sensitive customer data, fine‑tuned models, and inference loads to remain on premises. It combines the accessibility and performance of a datacenter inference server with the power efficiency, form factor, privacy, personalization, and control of an on‑premises AI solution. Qualcomm AI Inference Suite provides ready‑to‑use AI applications and agents, tools, and libraries for operationalizing AI—from computer vision to generative AI—spanning on‑prem and cloud deployments.
Position Summary:
We are seeking a strategic, execution‑driven, and market‑obsessed Director of Edge AI‑Cloud Product Management to own and lead end‑to‑end Go‑to‑Market (GTM) for AI‑driven Industrial and Enterprise solutions, centered on our AI on‑prem Appliance (including hybrid AI). This leader will drive pipeline growth, sales activation, partner engagement, global ecosystem development, and market expansion—and be directly accountable for customer and revenue pipeline.
For more information, please navigate to the AI-On Prem Appliance page on our portal:
https://www.qualcomm.com/internet-of-things/solutions/ai-on-prem-appliance
Key Responsibilities:
Strategic Leadership & GTM Ownership
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Own the global GTM strategy for AI on‑prem Appliance, including segment prioritization, competitive positioning, partnership frameworks, and commercialization paths.
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Demonstrated capability to create and build entirely new markets (category creation, whitespace analysis, early‑stage incubation).
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Support the product roadmap aligned with Qualcomm’s edgeAI strategy and fast changing competitive landscape.
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Identify high‑growth use cases across manufacturing, retail, logistics, enterprise, energy, healthcare, utilities and smart infrastructure.
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Drive cross‑functional alignment across engineering, business development, marketing, and regional field organizations; partner with regional sales teams
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Develop compelling GTM narratives, messaging, differentiated value propositions, and competitive battlecards for industrial, enterprise, and automotive audiences.
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Creative with different hardware and SaaS models (subscription, consumption‑based, hybrid, and outcome‑based pricing).
GTM Execution Excellence
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Acts as a CRO‑type leader, fully responsible for revenue pipeline creation, acceleration, and forecasting.
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Lead launches, sales enablement, and creation of customer‑facing materials (playbooks, demos, ROI models, and vertical solution briefs).
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Build a measurable pipeline generation engine across direct sales, channels, and ecosystem routes; set targets and drive conversion.
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Establish repeatable motions including customer engagements, PoV/PoC frameworks, ROI modeling, partner co‑sell motions, and vertical playbooks.
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Skilled in Demand Generation (campaign strategy, lead scoring/qualification, funnel optimization, growth programs).
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Proven deal‑closure “killer instinct,” driving customer deals from early engagements → PoC → pilot → scaled deployment with urgency and precision.
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Unlocks value from edge‑AI technologies through compelling, ROI‑tied use cases for industrial and enterprise customers.
Customers, events/trade-shows and ecosystem related travel is required for this role.
Product Innovation
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Translate customer requirements into differentiated features leveraging Qualcomm AI engines (AI accelerators) and So Cs.
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Influence SoC, software, and solution tech and product roadmaps through customer, partner, and ecosystem insights for edge inference, and based on competitive landscape intelligence.
Customer & Ecosystem Engagement
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Build executive‑level relationships with OEMs, ISVs, start‑ups, platform providers, integrators, and solution partners; develop and scale global ecosystem partnerships (HW, ISV, start‑ups).
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C-level presentation and communication skills; Represent Qualcomm in edge‑AI thought‑leadership forums, conferences, and industry groups; collaborate with Marketing on events, demos, and customer storytelling.
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Lead customer Po Cs and drive conversion into scalable commercial deployments with high conversion rates.
Internal Leadership
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Be a core leader among product managers, engineering leads, customer engineering, and program managers to deliver scalable, secure, and high‑performance edge‑AI solutions.
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Strong collaboration with Marketing and Events teams; shapes event strategy, demos, and stage‑ready narratives.
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Works closely with regional sales teams worldwide to drive pipeline creation, qualification, and closure.
This is an office based position located in San Diego, CA and is 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.
- 8+ years of Product Management or related work experience.
Preferred Qualifications:
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15+ years in product management and business leadership roles, with 10+ years in AI and edge computing.
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Strong business acumen and ability to communicate complex technical concepts to executive and customer audiences.
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Proven track record of establishing successful AI‑enabled products and related business, especially in industrial and enterprise domains.
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Deep understanding of AI/ML at the edge, Agentic AI and embedded systems, and industrial protocols.
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Solid understanding of AI/ML software tools and platforms, MLOps, agentic AI workflows, and LLM inference serving.
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Knowledge of Qualcomm platforms and AI accelerators or similar So Cs is highly desirable.
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Why Join Qualcomm:
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Shape the future of intelligent edge computing in industrial environments.
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Work with world‑class engineers and researchers on cutting‑edge AI and connectivity technologies.
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Be part of a mission‑driven company that’s redefining what’s possible at the edge.
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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关于Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
员工数
San Diego
总部位置
$136B
企业估值
评价
3.7
10条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
3.2
职业发展
3.8
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Challenging and interesting work
Great team and colleagues
缺点
Management and leadership issues
Work-life balance concerns
Toxic culture/micromanagement
薪资范围
21个数据点
Junior/L3
Junior/L3 · Data Scientist
0份报告
$196,000
年薪总额
基本工资
$150,000
股票
$33,000
奖金
$13,000
$166,600
$225,400
面试经验
9次面试
难度
2.6
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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