Sr. Technical Product Manager, AI Data Platforms

DDNSanta Clara ColocationDepartment

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Opens the official DDN careers page

Salary

$175K - $225K USD

Job type

Full-time

Work mode

Remote

Posted

16 Jul 2026

Status

Open · checked 7d ago

About this role

DDN is currently hiring a remote-friendly Senior Technical Product Manager, AI Data Platforms based out of Santa Clara Colocation. This role involves leading the end-to-end product strategy for the company's AI Data Platform solutions within the NVIDIA ecosystem. It is an ideal opportunity for an experienced professional looking to shape enterprise generative artificial intelligence infrastructure.

Role Overview

As a Senior Technical Product Manager for AI Data Platforms, the chosen candidate will direct the product roadmap for DDN's Enterprise AI HyperPOD solutions. This position requires translating complex AI infrastructure architectures into compelling market offerings while working directly with engineering teams. The individual will guide feature development, support go-to-market strategies, and align capabilities with the NVIDIA AI Data Platform reference architecture.

Key Responsibilities

Define and manage the product roadmap for Enterprise AI HyperPOD in alignment with NVIDIA hardware and software requirements.

Identify differentiation opportunities covering metadata monitoring, access controls, data governance, and vector database integrations.

Act as the primary product interface with NVIDIA for partner activities, joint engineering reviews, and program requirements.

Build and manage product relationships with ISVs, system integrators, and cloud service providers to create validated reference architectures.

Establish customer-ready solution configurations, encompassing GPU sizing, network topologies, and performance targets.

Partner with Sales, Solutions Engineering, and Marketing to develop vertical-specific positioning for sectors like finance, healthcare, and retail.

Engage directly with enterprise customers and prospects to capture market intelligence and deployment challenges.

Requirements

Ten or more years of product management experience, featuring at least two years focused on enterprise infrastructure, storage, or AI and machine learning infrastructure.

Strong comprehension of AI and ML workflows, including Retrieval-Augmented Generation (RAG), large language model inference pipelines, and vector search.

Demonstrated background in hardware or software ecosystem partner programs, such as those with NVIDIA, Intel, or AMD.

Proven ability to lead cross-functional execution across engineering, sales, and marketing without direct authority.

Exceptional written and verbal communication skills for authoring product requirement documents and presenting to executive audiences.

Nice to Have

Familiarity with the NVIDIA AI Enterprise software stack, including NIM microservices, NeMo Retriever, or cuVS.

Background working with high-performance or parallel file systems, object storage, or NVMe-based storage architectures.

Experience within DDN's core verticals, such as Financial Services, Health & Life Sciences, Retail, Manufacturing, or Sovereign AI.

Knowledge of enterprise data governance, access control frameworks, and regulatory compliance standards like HIPAA, FedRAMP, or DORA.

Experience navigating technology partner ecosystems, including co-sell motions and joint solution creation.

Background using Kubernetes-based, cloud-native infrastructure deployments.

Skills and Tools

Kubernetes

LLM

RAG

NVIDIA AI Enterprise software stack

High-performance storage protocols and architectures

Vector database integrations

Salary and Benefits

The annual salary for this full-time position ranges from $175,000 to $225,000 in USD.

About the Company

DDN operates at the forefront of the AI infrastructure market, providing purpose-built, GPU-accelerated solutions that scale enterprise generative AI. As a strategic partner in the NVIDIA ecosystem, the company helps organizations connect their data to large language models, AI agents, and multimodal applications across multiple regulated industries.

How to Apply

Interested candidates should visit the official DDN careers page to submit an application for this position.

Skills and tech stack

Kubernetes LLM RAG

Questions candidates ask

What is the salary range for this position?

The annual salary ranges from $175,000 to $225,000 USD.

Where is the job located?

The role is listed as remote with a location context of Santa Clara Colocation.

How much experience is required?

Candidates must have 10+ years of product management experience, including at least 2 years in enterprise infrastructure, storage, or AI/ML infrastructure.

What specific technical knowledge is needed?

Applicants need a solid understanding of AI/ML workflows, specifically RAG, LLM inference pipelines, and vector search, along with experience in ecosystem partner programs.

How can I apply for this job?

You can apply directly on the official DDN careers website.

Ready to apply?

The application is on the official DDN careers page.

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