Senior Technical Product Owner - Enterprise AI & Search

3M

Austin (TX)

On-site

USD 146,000 - 178,000

Full time

14 days+

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Job summary

3M is seeking a Technical Product Owner for Enterprise Search & AI, bridging strategic roadmaps with sprint execution. You’ll translate business needs into detailed tech requirements, prioritize a busy backlog, and guide agile teams to deliver reliable search, AI retrieval, and blended lexical/semantic capabilities across digital experiences.

The role requires 7+ years in technical product roles, with 3+ years in search/AI portfolios, and a on-site work model at US facilities.

Qualifications

  • Bachelor’s degree or higher in a technical field required.
  • 7+ years in technical product ownership, product management, or software engineering.
  • Minimum 3 years owning/managing search, data platform, or AI-driven product portfolios.

Responsibilities

  • Translate long-term search and AI platform vision into detailed user stories and acceptance criteria.
  • Own, refine, and prioritize pod backlog to balance reliability with AI capabilities.
  • Guide sprint execution with Enterprise Search Tech Lead and vendor engineers.
  • Gatekeeper for UAT, ensuring performance, relevance, and AI quality benchmarks.
  • Monitor platform adoption and relay feedback to leadership for platform evolution.

Skills

Product ownership
Agile methodologies
Backlog management
Stakeholder collaboration
Technical requirements

Education

Bachelor’s degree or higher in Computer Science/Engineering/IS

Tools

CI/CD pipelines
Infrastructure as Code

Job description

3M is seeking a Technical Product Owner for Enterprise Search & AI, bridging strategic roadmaps with sprint execution. You’ll translate business needs into detailed tech requirements, prioritize a busy backlog, and guide agile teams to deliver reliable search, AI retrieval, and blended lexical/semantic capabilities across digital experiences.

The role requires 7+ years in technical product roles, with 3+ years in search/AI portfolios, and a on-site work model at US facilities.

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