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Product Manager - Gaudi 3 & WatsonX

IBM

IBM

Product
Multiple locations
Posted on Oct 19, 2024
Introduction
A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into industry-leading solutions.

We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world’s leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive

Your Role and Responsibilities

The AI Infrastructure Product Manager will be responsible for IaaS offerings related to AI e.g. GPUs, software stack enabling AI workloads on IBM Cloud. Working with Architecture, Engineering/Development, Marketing, Sales, and Finance teams, to set strategy for, define, design, and directly manage nearly all aspects of end-to-end customer experience and their impact on our business. The responsibility will include following the product management process and practices defined by IBM Cloud and managing the product through full life-cycle including launch, go-to-market, sales enablement, upgrades/maintenance and support.

As an owner of the service or a product on IBM Cloud, the product manager would be responsible for P&L, this includes working on Business case creation, pricing and cost analysis. The goal should be to meet your objectives for revenue and profit each year, measured on quarterly basis.

As AI Infrastructure Product Manager, you will create go-to market plans and manage the development of products with cross-functional teams to meet product schedules and quality goals. Additional duties include managing multiple products, engaging in technical, product development, marketing, and pre/post-sales support activities, and providing the engineering/development team with product requirements.

Responsibilities

• Act as the Subject Matter Expert for the Cloud IaaS AI Product portfolio, including latest GPU offerings from NVIDIA, Intel and AMD.
• Manage the entire product life cycle from strategic planning to tactical activities.
• Research market trends for IT infrastructure and develop strategies to ensure AI Infrastructure offering meets customer needs as trends evolve.
• Define product requirements and translate into actionable items for the engineering/development teams.
• Work across functional teams to continually improve the customer experience.
• Lead and manage new product launches.
• Identifying and retiring products that have reached end-of-life.
• Communicate across the organization, including to executive teams, on health of products in the IaaS Compute portfolio.
• Work with the sales organization on strategic customer engagements.


Required Technical and Professional Expertise

  • 5+ years in a Product Management Role
  • 2+ years managing AI Infrastructure offerings
  • Experience with compute/server hardware, software, and virtualization technologies.
  • Experience in Cloud, Hosting, Managed Services, and Data Center markets.
  • Demonstrated experience shipping multiple iterations of commercially successful products with hardware, software, and service dependencies.


Preferred Technical and Professional Expertise

  • Bachelor’s degree in computer science, Management Information Systems, Computer Information Systems, or a related field
  • Master’s in Business Administration (MBA) preferred
  • Experience leading cross-functional teams to deliver products and projects on tight deadlines.
  • Experience simultaneously coordinating multiple complex product development cycles and software development schedules.
  • Demonstrated communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams.
  • Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills.
  • Ability to deal with ambiguity and competing objectives in a fast-paced environment.