Job Description
Location: Ventura, United States of America Function: (DEAI HV) Product Requisition ID: R0127207 Job Title: Senior Product Manager – AI Platforms (Hitachi iQ & iQ Studio) Location: (Remote: US/Canada) Business Unit: Hybrid Cloud & AI Our Company We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks - can focus on achieving the incredible with data. If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data . What You’ll Be Doing 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. Key Responsibilities Product Ownership & Execution 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 Roadmap Delivery 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 AI Platform Capabilities 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 Customer & Field Engagement Work directly with customers, field teams, and partners to: Understand real-world AI use cases Validate product direction and features Support POCs, key deals, and customer escalations Cross-Functional Collaboration Partner with Engineering for delivery Sales/Marketing for positioning and enablement Alliances (e.g., NVIDIA ecosystem) for integration Ensure alignment across teams for successful product launches Competitive Awareness Track market trends and competitors Contribute to feature differentiation and positioning Experience What You Will Bring to the Team 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 Technical Skills Strong understanding of: AI/ML workflows (training, inference, RAG concepts, Agentic AI) Data architectures (file, object, data pipelines) APIs, microservices, and cloud-native design Ability to work closely with engineers on technical product decisions Execution & Mindset Strong ownership and bias for action Ability to operate in fast-moving, ambiguous environments Detail-oriented with a focus on delivery and outcomes Success Metrics Delivery of roadmap milestones (on time and quality) Adoption of key AI features and capabilities Customer and field feedback (POCs, wins, usability) Contribution to pipeline and deal success What Success Looks Like (First 6–12 Months) Own and deliver key AI platform capabilities (e.g., RAG, orchestration) Strong partnership with engineering and field teams Tangible contribution to customer wins and AI adoption Why This Role Matters 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. He