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

Qualcomm•San Diego, CA

31d•$196,000 - $294,000•Onsite

About The Position

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. 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

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
8+ years of Product Management or related work experience.

Nice To Haves

15+ years in product management and business leadership roles, with 10+ years in AI and edge computing.
Strong business acumen and ability to communicate complex technical concepts to executive and customer audiences.
Proven track record of establishing successful AI‑enabled products and related business, especially in industrial and enterprise domains.
Deep understanding of AI/ML at the edge, Agentic AI and embedded systems, and industrial protocols.
Solid understanding of AI/ML software tools and platforms, MLOps, agentic AI workflows, and LLM inference serving.
Knowledge of Qualcomm platforms and AI accelerators or similar SoCs is highly desirable.

Responsibilities

Own the global GTM strategy for AI on‑prem Appliance, including segment prioritization, competitive positioning, partnership frameworks, and commercialization paths.
Demonstrated capability to create and build entirely new markets (category creation, whitespace analysis, early‑stage incubation).
Support the product roadmap aligned with Qualcomm’s edgeAI strategy and fast changing competitive landscape.
Identify high‑growth use cases across manufacturing, retail, logistics, enterprise, energy, healthcare, utilities and smart infrastructure.
Drive cross‑functional alignment across engineering, business development, marketing, and regional field organizations; partner with regional sales teams
Develop compelling GTM narratives, messaging, differentiated value propositions, and competitive battlecards for industrial, enterprise, and automotive audiences.
Creative with different hardware and SaaS models (subscription, consumption‑based, hybrid, and outcome-based pricing).
Acts as a CRO‑type leader, fully responsible for revenue pipeline creation, acceleration, and forecasting.
Lead launches, sales enablement, and creation of customer‑facing materials (playbooks, demos, ROI models, and vertical solution briefs).
Build a measurable pipeline generation engine across direct sales, channels, and ecosystem routes; set targets and drive conversion.
Establish repeatable motions including customer engagements, PoV/PoC frameworks, ROI modeling, partner co‑sell motions, and vertical playbooks.
Skilled in Demand Generation (campaign strategy, lead scoring/qualification, funnel optimization, growth programs).
Proven deal‑closure “killer instinct,” driving customer deals from early engagements → PoC → pilot → scaled deployment with urgency and precision.
Unlocks value from edge‑AI technologies through compelling, ROI‑tied use cases for industrial and enterprise customers.
Translate customer requirements into differentiated features leveraging Qualcomm AI engines (AI accelerators) and SoCs.
Influence SoC, software, and solution tech and product roadmaps through customer, partner, and ecosystem insights for edge inference, and based on competitive landscape intelligence.
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).
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.
Lead customer PoCs and drive conversion into scalable commercial deployments with high conversion rates.
Be a core leader among product managers, engineering leads, customer engineering, and program managers to deliver scalable, secure, and high‑performance edge‑AI solutions.
Strong collaboration with Marketing and Events teams; shapes event strategy, demos, and stage‑ready narratives.
Works closely with regional sales teams worldwide to drive pipeline creation, qualification, and closure.