Sr. Technical Product Manager, AI Data Platforms
Listed on 2026-05-30
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IT/Tech
AI Engineer, Data Engineer, Systems Engineer, Cloud Computing
Overview
This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. Data Direct Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.
"DDN's A3I solutions are transforming the landscape of AI infrastructure." - IDC
"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments" - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA
DDN is the global leader in AI and multi-cloud data management cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.
Our success is driven by our unwavering commitment to innovation, customer‑centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.
About the OpportunityThe AI infrastructure market is being redefined. Enterprises across Financial Services, Health & Life Sciences, Retail, Manufacturing, and Sovereign AI programs are racing to connect their data to large language models, AI agents, and multimodal AI applications - and storage is at the center of that transformation.
DDN is at the forefront of this shift. As a strategic partner in the NVIDIA ecosystem, DDN delivers Enterprise AI Hyper
POD - a purpose‑built, GPU‑accelerated solution that makes enterprise generative AI real at scale.
We are looking for a Sr. Technical Product Manager, AI Data Platforms who will own DDN's AIDP solution strategy end‑to‑end: shaping the product roadmap, defining differentiated solutions built on Enterprise AI Hyper
POD, and driving go‑to‑market execution in partnership with NVIDIA, the broader NVIDIA ecosystem, and a growing network of technology and channel partners.
This is a high‑impact, high‑visibility role for someone equally at home translating complex AI infrastructure architectures into compelling market solutions and working with engineering to define the features that make DDN's AI Data Platform offering best‑in‑class.
What You'll Own Product Strategy & Roadmap- Define and own the product roadmap for DDN Enterprise AI Hyper
POD as it relates to the NVIDIA AI Data Platform reference architecture, aligning DDN's capabilities with AIDP requirements across hardware (NVIDIA Blackwell GPUs, Blue Field 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 integrations.
- Translate NVIDIA AIDP reference architecture specifications into concrete DDN product requirements across all supported storage topologies.
- Serve 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 specifications.
- Build 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 Hyper
POD. - Engage with vector database partners, LLM and inference…
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