Hiring: Sr. Director Product Management Company: Qualcomm Location: San Diego, CA Job Posted Time: 2026-09-10 14:47:20 Employment Type: Full-time / Hybrid Target Skills & Keywords : Android, C++, LLM, Linux, Ollama, Product Data Management, Product Management, Product Strategy, Systems Design About the job Experience: •15+ years of Product Management or related technical work experience. •5+ years of people-leadership experience, including hiring, developing, and retaining technical talent. •4+ 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. Required Skills: •AI / ML Models: model lifecycle, quantization and optimization, inference performance, and on-device / hybrid deployment trade-offs. •Agentic Systems: planning, tool use, multi-agent workflows, and the product requirements that make agentic experiences reliable and performant. •Orchestration: task decomposition, routing, execution, and aggregation across compute tiers, including NPU-first runtime strategies. •Protocols & Standards: authoring, evolving, and driving adoption of interoperability specifications and open standards across the ecosystem and standards bodies. •Windows & Edge AI Ecosystem: delivering AI products and services on the Windows ecosystem that leverage local AI accelerators (CPU, GPU, NPU) across the app-to-silicon stack. •Product & Specification Development: translating system solutions into shippable products and ratifiable specifications with clear KPIs, conformance criteria, and partner enablement. •Windows Ecosystem & Edge AI Experience •Hands-on experience delivering Windows ecosystem-based AI products/services that utilize local AI accelerators (CPU, GPU, or NPU). Qualifications: •Advanced degree (MS or MBA) in a technical or business discipline preferred. •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). •Operational familiarity with AI middleware/frameworks (llama.cpp, Ollama, AnythingLLM) and the AI app development flow. •Solid functional working knowledge of LLM/VLM models in the ~1B–150B range and their edge trade-offs (perf, power, latency, memory, security); Qwen, Llama, Gemma, gpt-oss families preferred. •Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field. •Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!