Staff Product Manager - Data Center AI Software

* Develop product requirements based on customer feedback, competitive analysis, industry trends, and business objectives.

* Own the strategy and requirements for AI software stacks including:

* Engage directly with cloud service providers, enterprises, system integrators, and ISV partners.

* Gather requirements and translate customer needs into actionable product plans.

* Support proof-of-concepts, customer evaluations, and production deployment initiatives.

* Present product strategy and technical capabilities to executive stakeholders and customers.

* Monitor AI infrastructure trends and competitive offerings across NVIDIA, AMD, Intel, AWS, Google, and emerging AI accelerator providers.

* Evaluate emerging AI frameworks, open-source projects, and ecosystem technologies.

This is an office based position located in San Diego, CA and is expected to comply with the company's onsite work policy.

- Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.

- 5+ years of Product Management or related work experience.

* Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related technical field.

* Master's degree or PhD in Computer Science, AI/ML, Electrical Engineering, or related 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.

* Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI inference technologies.

* Experience working with AI frameworks such as PyTorch, TensorFlow, vLLM, SGLang, Hugging Face, Ray, or equivalent technologies.

* Familiarity with cloud-native technologies including Kubernetes, Docker, and distributed computing systems.

* Experience defining product requirements and executing complex technical roadmaps.

* Strong communication, leadership, and stakeholder management skills.

* Experience with AI accelerator hardware, GPUs, NPUs, or custom silicon platforms.

* Knowledge of LLM serving architectures, optimization techniques, quantization, and distributed inference.

* Familiarity with inference metrics such as TTFT, TPOT, throughput, latency, and scaling efficiency.

* Experience working with hyperscale cloud providers and enterprise AI customers.

* Background in open-source AI ecosystems and developer communities.

* Demonstrated success launching enterprise software or AI infrastructure products.

* Delivery of strategic AI software capabilities aligned with customer and business priorities.

* Successful customer onboarding and production deployments.

* Improved AI workload performance, scalability, and developer experience.

* Expansion of strategic partnerships across the AI ecosystem.