Staff Product Manager - Data Center AI Software
$179,200 - $268,800 USD yearly
Originally posted 17 July 2026 by the employer.
Own product strategy and requirements for data center AI software stacks, LLM optimization tools, and Kubernetes infrastructure.
About the role
As a Staff Product Manager - Data Center AI Software, you will own the strategy and product requirements for AI software stacks spanning LLM optimization, cloud-native infrastructure, and model validation workflows. The role focuses on delivering AI software capabilities for data center environments and engaging directly with cloud service providers and enterprise partners.
What you'll do
- Develop product requirements based on customer feedback, competitive analysis, industry trends, and business objectives. - Own strategy and requirements for AI software stacks, including LLM optimization, Kubernetes, model onboarding workflows, benchmarking tools, and developer experience. - Engage directly with cloud service providers, enterprises, system integrators, and ISV partners to translate customer needs into product plans. - Support proof-of-concepts, customer evaluations, and production deployment initiatives across Qualcomm platforms. - Monitor AI infrastructure trends and competitive offerings across accelerator providers and emerging open-source technologies. - Present product strategy and technical capabilities to executive stakeholders and customers.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or a related field. - 5+ years of Product Management or related work experience.
Nice to have
- Bachelor's degree, Master's degree, or PhD in Computer Science, AI/ML, Electrical Engineering, or related technical field. - 8 years of product management, software engineering, technical marketing, or related experience. - 5 years of experience in AI/ML, cloud infrastructure, distributed systems, or data center technologies. - Understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI inference technologies. - Experience with AI frameworks including PyTorch, TensorFlow, vLLM, SGLang, Hugging Face, or Ray. - Familiarity with cloud-native technologies including Kubernetes, Docker, and distributed computing systems. - Experience with AI accelerator hardware, GPUs, NPUs, or custom silicon platforms, along with LLM serving architectures, quantization, and distributed inference. - Familiarity with inference metrics such as TTFT, TPOT, throughput, latency, and scaling efficiency.
Skills: product requirements, LLM, Kubernetes, AI software stacks, customer engagement, competitive analysis
This role has been open 95 days — well above the 47-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
71
|
Median days open
47 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 (71 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 71 |
| Median days open | 69 d | 47 d (+22 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: product requirements, LLM, Kubernetes, AI software stacks, customer engagement, competitive analysis
Who's hiring in this category
- NVIDIA · 23 open roles · median 35 d
- Qualcomm (this employer) · 10 open roles · median 69 d
- AMD · 8 open roles · median 54 d
- NXP Semiconductors · 4 open roles · median 20 d
- Analog Devices · 3 open roles · median 39 d
- SambaNova · 3 open roles · median 41 d
How we counted: 71 open Product Management (AI ML Hardware) roles from 22 employers tracked in the SemiconductorJobs index, counted 21 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.