$179,200 - $268,800 USD yearly
Originally posted 14 August 2026 by the employer.
Define the end-to-end hardware–software solutions that turn AI/ML models and orchestration runtimes into products people use.
About the role
This role defines and delivers end-to-end hardware–software solutions powering on-device and hybrid AI experiences, with a focus on the Windows AI ecosystem.
What you'll do
- Own the product strategy, definition, and lifecycle for AI platform products and specifications, spanning AI/ML model enablement, agentic systems, orchestration runtimes, and open protocols. - Develop, define, and execute plans of record, including schedules, budgets, resources, deliverables, and risks. - Function as a central resource across systems, engineering, standards, quality, marketing, and partner teams as products and specifications move through their lifecycle. - Identify gaps and opportunities based on market, customer, technology, and ecosystem demands across the AI/ML, agentic, and orchestration landscape to guide solution and design conversations. - Lead the creation and validation of business cases for new AI platform products and specifications, ensuring alignment with the product roadmap and business direction.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related technical field. - 5+ years of Product Management or related work experience. - Deep fluency in the Windows edge-AI stack. - Ability to translate emerging model, agentic, and orchestration trends into a differentiated product and specification roadmap. - Working fluency across AI/ML Models, Agentic Systems, Orchestration, Protocols & Standards, Windows & Edge AI Ecosystem, and Product & Specification Development. - Understanding of LLM/VLM models in the ~1B–150B parameter range and the performance, power, latency, memory-footprint, and security trade-offs of running them on edge devices.
Nice to have
- 10 years of Product Management or related technical work experience. - Advanced degree (MS or MBA) in a technical or business discipline. - Direct experience defining or shipping Windows-ecosystem AI/ML platforms, inference runtimes, agentic frameworks, or orchestration systems on local accelerators (CPU, GPU, NPU). - Detailed understanding of edge AI APIs/DDIs and SDKs (Windows preferred; Android/Mac/Linux acceptable) and the app-to-silicon workload flow (DirectX, WinML, OpenCL, GGML). - Familiarity with AI middleware/frameworks (llama.cpp, Ollama, AnythingLLM) and the AI app development flow. - Working knowledge of Qwen, Llama, Gemma, and gpt-oss model families. - Experience authoring or contributing to technical specifications, protocols, or industry standards. - 3 years working in a large, matrixed organization. - 2 years working with operating budgets and/or project financials. - 2 years negotiating third-party business agreements or partnerships.
Skills: product strategy, AI platform products, AI/ML model enablement, orchestration runtimes, Windows AI ecosystem
This role has been open 64 days — well above the 43-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
70
|
Median days open
43 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (70 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 70 |
| Median days open | 66 d | 43 d (+23 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: product strategy, AI platform products, AI/ML model enablement, orchestration runtimes, Windows AI ecosystem
Who's hiring in this category
- NVIDIA · 22 open roles · median 31 d
- Qualcomm (this employer) · 10 open roles · median 65 d
- AMD · 8 open roles · median 50 d
- NXP Semiconductors · 4 open roles · median 16 d
- Analog Devices · 3 open roles · median 35 d
- SambaNova · 3 open roles · median 37 d
How we counted: 70 open Product Management (AI ML Hardware) roles from 22 employers tracked in the SemiconductorJobs index, counted 17 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.