AI Product Manager: Lead AI-Driven UI & Tooling

Nix

Boston (MA)

Hybride

USD 120 000 - 170 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Flexible work format
Career growth
Mentorship program
Education reimbursement
Corporate events
Team building activities

Résumé du poste

N-iX is seeking an experienced AI Product Manager / Senior Product Manager to drive AI-enhanced capabilities for a UI component library framework used across Client's software products. You will own the backlog, define the roadmap, and align engineering, architecture, and Client PMs to deliver measurable outcomes in a fast-moving agentic tooling context.

You will collaborate with UI architects and engineering leads to evaluate new AI capabilities, define acceptance criteria, and manage

Qualifications

  • 5+ years of experience as a Product Owner or Product Manager in a software engineering environment.
  • Proven track record of managing complex backlogs with competing priorities across multiple workstreams.
  • Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas.

Responsabilités

  • Define and maintain the AI product roadmap for the UI component library product, aligned with Client’s Digital Innovation department’s objectives.
  • Translate business goals and engineering insights into a prioritised backlog using PMBOK and agile best practices.
  • Lead quarterly UI component library roadmap reviews with stakeholders and leadership.
  • Own the product definition for AI-integrated SDLC tooling and related analytics.

Connaissances

Product Management
Agile Methodologies
Stakeholder Management
Data-driven Delivery

Outils

GitLab
Power BI
Grafana

Description du poste

N-iX is seeking an experienced AI Product Manager / Senior Product Manager to drive AI-enhanced capabilities for a UI component library framework used across Client's software products. You will own the backlog, define the roadmap, and align engineering, architecture, and Client PMs to deliver measurable outcomes in a fast-moving agentic tooling context.

You will collaborate with UI architects and engineering leads to evaluate new AI capabilities, define acceptance criteria, and manage

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