DDN
Sr. Technical Product Manager, AI Data Platforms
Remote - California · Senior
Sponsorship not specifiedDetected 5 days ago
Vector DatabasesKubernetesMachine LearningLLMsRAGAgentic AIComplianceProduct ManagementProduct StrategyHIPAACommunication
About the role
- The AI infrastructure market is being redefined.
Responsibilities
- As a strategic partner in the NVIDIA ecosystem, DDN delivers Enterprise AI HyperPOD - a purpose-built, GPU-accelerated solution that makes enterprise generative AI real at scale.
- Collaborate with Sales, Solutions Engineering, and Marketing to build compelling narratives and win enterprise deals across DDN's target verticals.
- Feed market and ecosystem insights back into the Enterprise AI HyperPOD roadmap and partner strategy.
Requirements
- 10+ years of product management experience, with at least 2 years in enterprise infrastructure, storage, or AI/ML infrastructure.
- Excellent written and verbal communication - you can write a PRD and present to a C-suite customer in the same day.
- Familiarity with the NVIDIA AI Enterprise software stack: NIM microservices, NeMo Retriever, cuVS, or related components.
- Experience with high-performance or parallel file systems, object storage, or NVMe-based storage architectures.
- Familiarity with enterprise data governance, access control frameworks, and regulatory compliance requirements (HIPAA, FedRAMP, DORA, or similar).
- Experience with Kubernetes-based, cloud-native infrastructure deployments.
- Solid understanding of AI/ML workflows - particularly Retrieval-Augmented Generation (RAG), LLM inference pipelines, and vector search.
- Experience working within hardware/software ecosystem partner programs (NVIDIA, Intel, AMD, or similar) with demonstrated ability to manage multi-party product and GTM initiatives.
- Demonstrated ability to drive cross-functional execution across engineering, sales, and marketing without direct authority.
- Experience with one or more of DDN's core verticals: Financial Services, Health & Life Sciences, Retail, Manufacturing, or Sovereign AI / government programs.
- Experience navigating and activating technology partner ecosystems - co-sell motions, joint solution development, and partner-led pipeline generation.
Skills
- Translate NVIDIA AIDP reference architecture specifications into concrete DDN product requirements across all supported storage topologies.
Benefits
- Develop vertical-specific solution positioning for Financial Services, Health & Life Sciences, Retail, Manufacturing, and Sovereign AI programs - translating AIDP capabilities into outcomes that resonate in each market.
Company info
- We are looking for a Sr.
- Represent DDN's AIDP solutions externally at industry events, with strategic customers, and with analyst and press audiences.
- Engage directly with enterprise customers and prospects to understand AI data infrastructure requirements, buying criteria, and deployment challenges specific to their industry.
This listing is sourced directly from DDN's careers page and normalized into a canonical job model.