Senior Product Manager, AI Platforms

Location:
Ventura, United States of America
Function:
(DEAI HV) Product
Requisition :
R0127207
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.

• 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

• 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)
• Data architectures (file, object, data pipelines)
• 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

• 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

• 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

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
As required by the equal pay and transparency acts, the expected base salary for this position is: $200K to $260K. Expected on-target earnings: $234K to $304K
The expected pay is determined based on a variety of factors including, but not limited to,…