Function

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.

Job description

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

1. 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

2. 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

3. 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

4. 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

5. 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

6. Competitive Awareness

• Track market trends and competitors
• Contribute to feature differentiation and positioning

What You Will Bring to the Team

Experience

• 10+ years in Product Management or related roles

• Experience in one or more areas:

o AI/ML platforms

o Data infrastructure (storage, data lakes, distributed systems)

o Cloud / Kubernetes-based platforms

Technical Skills

• Strong understanding of:

o AI/ML workflows (training, inference, RAG concepts, Agentic AI)

o Data architectures (file, object, data pipelines)

o 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)
• Con