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NEXTMOVEFDE careers · United States
Hewlett Packard (HP)

AI Scan Solutions Product Manager

AI summary of the role

HP is seeking a Software Product Manager to lead the strategy, roadmap, and delivery of AI-powered scan workflow solutions for SMB print customers.

What you’ll do

  • Identify opportunities for integration of AI in customer scan workflows
  • Gather and summarize customer/market needs, competitive landscape and business goals to guide product/service/solution definition
  • Determine appropriate PSS positioning and value proposition
  • Drive the definition of a PSS family portfolio through Development and Design teams

What you’ll bring

  • Strong software product management experience
  • Ability to define a compelling, data-informed product vision that shapes org-level direction
  • Experience with agile software life cycle / development
  • AI fluency

Technologies

AI · scan workflows · agile · printers · workflow automation · data science · software product management

About Hewlett Packard (HP)

Designs and sells personal computers, printers, and related software, supplies, and services to consumers, enterprises, and SMBs worldwide.

Public · 5000+ people

Source and classification

Deployment strategy · Evidence for this classification:

AI Scan Solutions Product Manager Description - Join the HP Print Software Product Management team and be a part of history as we push the industry forward, redefining the state-of-the-art in productivity solutions for our business customers. It is an exciting time to be at HP as our services and solutions business are growing fast. We’re looking for the right person to help take us even further. Job Summary: Software Product Manager role to lead the strategy, roadmap, and delivery of AI-powered scan workflow solutions for small and medium business (SMB) print customers. In this role, you will define customer-centric requirements that simplify document capture, processing, and integration into digital workflows. You will collaborate closely with engineering, design, data science, and go-to-market teams to translate AI capabilities into scalable, easy-to-use software experiences. The
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