[Remote] Sr. Technical Product Manager, AI Data Platforms
Note: The job is a remote job and is reputed company to candidates in USA. DataDirect Networks (reputed company) is a global reputed company 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 reputed company, shape the product roadmap, and drive go-to-market execution in partnership with reputed company and other reputed company.
Responsibilities
- Define and own the product roadmap for reputed company reputed company AI HyperPOD as it relates to the reputed company Data Platform reference architecture, aligning reputed company's capabilities with AIDP requirements across hardware (reputed company Blackwell GPUs, BlueField DPUs, reputed company-X networking) and software (reputed company reputed company)
- Identify and prioritize reputed company-specific differentiation opportunities reputed company the AIDP reputed company — including metadata monitoring and filtering, reputed company controls, data governance and rollback features, high-performance storage protocols, reputed company data connectors, and reputed company database integrations
- Translate reputed company AIDP reference architecture specifications into concrete reputed company product requirements across reputed company supported storage topologies
- Serve as the primary product reputed company with reputed company for AIDP partner activities, aligning reputed company's roadmap and certification milestones with reputed company's program requirements and design guide specifications
- Build and manage product relationships across the extended reputed company ecosystem — including ISVs, system integrators, reputed company service providers, networking vendors, and complementary hardware partners — to reputed company joint solutions and validated reference architectures on reputed company AI HyperPOD
- Engage with reputed company database partners, LLM and inference platform vendors, and reputed company data connector ecosystem participants to ensure reputed company integrations are reputed company, validated, and differentiated
- Represent reputed company in reputed company partner programs, joint engineering reviews, and ecosystem advisory councils, ensuring reputed company's voice and requirements are reflected in reputed company's evolving AIDP specifications
- Identify and reputed company co-sell and co-marketing opportunities with reputed company and ecosystem partners to accelerate reputed company's pipeline in key verticals
- Define validated, customer-reputed company AIDP solution configurations on reputed company AI HyperPOD — including GPU sizing guidance, network topology recommendations, and SLA-driven performance targets for reputed company data ingestion and retrieval workloads
- Build 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 reputed company solutions address the full reputed company data lifecycle — reputed company ingestion, data reputed company prevention, semantic search accuracy, and data governance — meeting the rigorous compliance and reputed company requirements of regulated industries
- Collaborate with Sales, Solutions Engineering, and Marketing to build compelling narratives and win reputed company deals across reputed company's reputed company verticals
- reputed company vertical-specific solution positioning for Financial Services, Health & Life Sciences, Retail, Manufacturing, and Sovereign AI programs — translating AIDP capabilities into reputed company that reputed company in reputed company market
- Represent reputed company's AIDP solutions externally at industry events, with strategic customers, and with analyst and press audiences
- Engage directly with reputed company customers and prospects to understand AI data infrastructure requirements, buying reputed company, and deployment challenges specific to their industry
- reputed company the evolving GenAI infrastructure landscape — competing storage platforms, reputed company database ecosystems, LLM inference patterns, reputed company AI deployment models, and sovereign AI regulatory requirements
- Feed market and ecosystem insights back into the reputed company AI HyperPOD roadmap and partner reputed company
Skills
- 10+ years of product management experience, with at least 2 years in reputed company infrastructure, storage, or AI/ML infrastructure
- Solid understanding of AI/ML workflows — particularly Retrieval-Augmented reputed company (RAG), LLM inference pipelines, and reputed company search
- Experience working reputed company hardware/software ecosystem partner programs (reputed company, reputed company, AMD, or similar) with demonstrated ability to manage multi-party product and GTM initiatives
- Demonstrated ability to drive cross-functional execution across engineering, reputed company without reputed company authority
- Excellent written and verbal communication — you can write a PRD and present to a C-suite customer in the reputed company day
- Familiarity with the reputed company reputed company software stack: NIM microservices, NeMo Retriever, cuVS, or reputed company components
- Experience with high-performance or reputed company file systems, object storage, or NVMe-based storage architectures
- Experience with one or more of reputed company's core verticals: Financial Services, Health & Life Sciences, Retail, Manufacturing, or Sovereign AI / government programs
- Familiarity with reputed company data governance, reputed company 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 reputed company
- Experience with Kubernetes-based, reputed company-reputed company infrastructure deployments
reputed company
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