Hitachi Logo

Hitachi

Senior Product Manager, AI Platforms

Reposted 22 Days Ago
Remote
Hiring Remotely in California, USA
200K-304K Annually
Senior level
Remote
Hiring Remotely in California, USA
200K-304K Annually
Senior level
Responsible for leading the Hitachi iQ and iQ Studio portfolio, managing AI infrastructure, and driving product ownership and execution, aimed at operationalizing AI at scale.
The summary above was generated by AI

Function

ProductOur 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

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)
  • 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.

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, depth of experience in the practice area. Employees are eligible to participate in Hitachi Vantara’s bonus/variable/commission pay programs, where applicable, and are subject to the program’s conditions and restrictions.

#LI-JT1

About us

We’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Similar Jobs

9 Hours Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical revenue accounting for Atlassian, advising on ASC 606, partnering with GTM, Sales, Product, and Engineering to scale order-to-cash processes, manage RevPro data/configuration, improve controls, support audits, and automate revenue recognition workflows.
Top Skills: ExcelOracle ErpRevproSQL
11 Hours Ago
Remote
USA
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own full-cycle global recruiting for senior, hard-to-fill technical roles across Research, Engineering, and Product. Build proactive sourcing strategies, define role scope and interview plans with hiring managers, evaluate technical depth for AI-native products, deliver excellent candidate experience across time zones, use funnel metrics to improve hiring velocity, and collaborate with People Ops, Legal, and Finance to scale compliant international hiring.
Top Skills: Ai/Ml SystemsAPIsLarge Language Models (Llms)Real-Time InferenceSpeech-To-Text (Stt)Text-To-Speech (Tts)
11 Hours Ago
Easy Apply
In-Office or Remote
United States
Easy Apply
180K-200K Annually
Senior level
180K-200K Annually
Senior level
Artificial Intelligence • Hardware • Healthtech • Software
The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.
Top Skills: AWSDatabricksKafkaKinesis

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account