[Remote] Sr. Technical Product Manager, AI Data Platforms

Note: The job is a remote job and is open to candidates in USA. DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation. They are seeking a Sr. Technical Product Manager for AI Data Platforms who will own the AIDP solution strategy, shape the product roadmap, and drive go-to-market execution in partnership with NVIDIA and other technology partners.ResponsibilitiesDefine and own the product roadmap for DDN Enterprise AI HyperPOD as it relates to the NVIDIA AI Data Platform reference architecture, aligning DDN's capabilities with AIDP requirements across hardware (NVIDIA Blackwell GPUs, BlueField DPUs, Spectrum-X networking) and software (NVIDIA AI Enterprise)Identify and prioritize DDN-specific differentiation opportunities within the AIDP framework — including metadata monitoring and filtering, access controls, data governance and rollback features, high-performance storage protocols, enterprise data connectors, and vector database integrationsTranslate NVIDIA AIDP reference architecture specifications into concrete DDN product requirements across all supported storage topologiesServe as the primary product interface with NVIDIA for AIDP partner activities, aligning DDN's roadmap and certification milestones with NVIDIA's program requirements and design guide specificationsBuild and manage product relationships across the extended NVIDIA AI ecosystem — including ISVs, system integrators, cloud service providers, networking vendors, and complementary hardware partners — to develop joint solutions and validated reference architectures on Enterprise AI HyperPODEngage with vector database partners, LLM and inference platform vendors, and enterprise data connector ecosystem participants to ensure DDN integrations are current, validated, and differentiatedRepresent DDN in NVIDIA partner programs, joint engineering reviews, and ecosystem advisory councils, ensuring DDN's voice and requirements are reflected in NVIDIA's evolving AIDP specificationsIdentify and develop co-sell and co-marketing opportunities with NVIDIA and ecosystem partners to accelerate DDN's pipeline in key verticalsDefine validated, customer-ready AIDP solution configurations on Enterprise AI HyperPOD — including GPU sizing guidance, network topology recommendations, and SLA-driven performance targets for continuous data ingestion and retrieval workloadsBuild solution briefs, reference architectures, and technical positioning materials covering the full AIDP pipeline: multimodal document ingestion (extraction, embedding, indexing) and retrieval (query embedding, reranking, RAG)Ensure DDN solutions address the full enterprise data lifecycle — continuous ingestion, data drift prevention, semantic search accuracy, and data governance — meeting the rigorous compliance and security requirements of regulated industriesCollaborate with Sales, Solutions Engineering, and Marketing to build compelling narratives and win enterprise deals across DDN's target verticalsDevelop 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 marketRepresent DDN's AIDP solutions externally at industry events, with strategic customers, and with analyst and press audiencesEngage directly with enterprise customers and prospects to understand AI data infrastructure requirements, buying criteria, and deployment challenges specific to their industryTrack the evolving GenAI infrastructure landscape — competing storage platforms, vector database ecosystems, LLM inference patterns, agentic AI deployment models, and sovereign AI regulatory requirementsFeed market and ecosystem insights back into the Enterprise AI HyperPOD roadmap and partner strategySkills10+ years of product management experience, with at least 2 years in enterprise infrastructure, storage, or AI/ML infrastructureSolid understanding of AI/ML workflows — particularly Retrieval-Augmented Generation (RAG), LLM inference pipelines, and vector searchExperience working within hardware/software ecosystem partner programs (NVIDIA, Intel, AMD, or similar) with demonstrated ability to manage multi-party product and GTM initiativesDemonstrated ability to drive cross-functional execution across engineering, sales, and marketing without direct authorityExcellent written and verbal communication — you can write a PRD and present to a C-suite customer in the same dayFamiliarity with the NVIDIA AI Enterprise software stack: NIM microservices, NeMo Retriever, cuVS, or related componentsExperience with high-performance or parallel file systems, object storage, or NVMe-based storage architecturesExperience with one or more of DDN's core verticals: Financial Services, Health & Life Sciences, Retail, Manufacturing, or Sovereign AI / government programsFamiliarity with enterprise data governance, access control frameworks, and regulatory compliance requirements (HIPAA, FedRAMP, DORA, or similar)Experience navigating and activating technology partner ecosystems — co-sell motions, joint solution development, and partner-led pipeline generationExperience with Kubernetes-based, cloud-native infrastructure deploymentsCompany OverviewDDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. It was founded in 1998, and is headquartered in Chatsworth, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.ddn.com.Company H1B SponsorshipDDN has a track record of offering H1B sponsorships, with 3 in 2026, 5 in 2025, 3 in 2024, 2 in 2023, 4 in 2022, 3 in 2021. Please note that this does not guarantee sponsorship for this specific role.