AI Product Owner: Agentic AI & LLM Strategy Lead

Saransh Inc

Louisville (KY)

Vor Ort

USD 110.000 - 140.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

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Zusammenfassung

Trizetto Products in Louisville, KY seeks an AI Product Owner to define and execute the product vision for agentic AI solutions. You will align strategy with business goals and guide AI initiatives across product, engineering, and governance teams.

The role requires defining requirements, managing the backlog, and driving performance through KPIs while collaborating with UX and data governance to ensure responsible AI practices.

Qualifikationen

  • Proven experience as Product Owner/Product Manager, ideally on AI/ML or automation products
  • Experience defining product vision, backlog, and roadmaps for AI solutions
  • Cross-functional collaboration with engineering, UX, and governance/compliance teams
  • Familiarity with agentic AI concepts and modern AI frameworks is a plus

Aufgaben

  • Define and own the product vision, strategy, and roadmap for agentic AI solutions aligned with business objectives
  • Own backlog with user stories and acceptance criteria for engineering teams
  • Define agent behaviors, decision boundaries, and success criteria (task completion, accuracy, latency, cost)
  • Collaborate with business stakeholders, AI/ML engineering, UX designers, and data governance/compliance teams
  • Define guardrails, escalation paths, and fallback mechanisms for agent failures or edge cases
  • Drive go-to-market planning, pilots, and phased rollouts of agentic AI features
  • Run Agile/Scrum ceremonies and manage dependencies across cross-functional teams

Kenntnisse

Product Owner
AI/ML experience
Automation products

Jobbeschreibung

Trizetto Products in Louisville, KY seeks an AI Product Owner to define and execute the product vision for agentic AI solutions. You will align strategy with business goals and guide AI initiatives across product, engineering, and governance teams.

The role requires defining requirements, managing the backlog, and driving performance through KPIs while collaborating with UX and data governance to ensure responsible AI practices.

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