About The Position

We are looking for a hands-on Senior Product Manager to lead key areas of the Hitachi iQ and iQ Studio portfolio to manage our AI infrastructure and platform offerings. This role will drive end-to-end product ownership for critical capabilities across AI data platforms, RAG pipelines, and AI lifecycle management, enabling customers to move from experimentation to production. You will operate as a builder and owner, working closely with engineering, customers, and GTM teams to deliver high-impact AI capabilities. This role is critical to building AI-ready data platforms that enable enterprises to operationalize AI at scale to position Hitachi Vantara as a leader in the AI data infrastructure space. Help shape the platform that turns enterprise data into real AI impact.

Requirements

  • 10+ years in Product Management or related roles
  • Experience in one or more areas: AI/ML platforms, Data infrastructure (storage, data lakes, distributed systems), Cloud / Kubernetes-based platforms
  • Strong understanding of AI/ML workflows (training, inference, RAG concepts, Agentic AI)
  • Strong understanding of Data architectures (file, object, data pipelines)
  • Strong understanding of APIs, microservices, and cloud-native design
  • Ability to work closely with engineers on technical product decisions
  • Strong ownership and bias for action
  • Ability to operate in fast-moving, ambiguous environments
  • Detail-oriented with a focus on delivery and outcomes

Responsibilities

  • Own specific product areas within Hitachi iQ and iQ Studio (e.g., RAG pipelines, orchestration, AI lifecycle with Agentic AI)
  • Translate strategy into clear product requirements, user stories, and deliverables
  • Drive execution from concept → build → launch → adoption
  • Contribute to and execute against the product roadmap
  • Prioritize features based on customer impact, usability, and business value
  • Ensure on-time, high-quality releases in collaboration with engineering
  • Define and deliver: AI data pipelines (RAG, ingestion, indexing), Data integration across File/Object/Block platforms, AI lifecycle workflows (deployment, monitoring, governance)
  • Work closely with engineering on technical design trade-offs
  • Work directly with customers, field teams, and partners to understand real-world AI use cases, validate product direction and features, and support POCs, key deals, and customer escalations
  • Partner with Engineering for delivery, Sales/Marketing for positioning and enablement, and Alliances (e.g., NVIDIA ecosystem) for integration
  • Ensure alignment across teams for successful product launches
  • Track market trends and competitors
  • Contribute to feature differentiation and positioning

Benefits

  • Industry-leading benefits, support, and services that look after your holistic health and wellbeing
  • Flexible arrangements that work for you (role and location dependent)
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