IQVIA logo
IQVIA

Accelerate innovation for a healthier world.

AI Product Owner

Product ManagerProduct ManagerFull TimeRemoteSeniorTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

Poland

Posted

1 day ago

Salary

zł155.6K - zł289.2K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglish

Job Description

AI Product Owner

IQVIA

• Own the execution‑level product ownership of Agentic AI solutions across Proof of Concept, MVP, and Production • Translate business needs and product intent into agent‑ready user stories, workflows, and acceptance criteria • Own and maintain the Agentic AI product backlog, ensuring clarity, readiness, and alignment with delivery constraints • Define and enforce Definition of Ready and acceptance standards suitable for autonomous and human‑in‑the‑loop agent workflows • Drive backlog prioritization and refinement, balancing agent capabilities, evaluation readiness, non‑functional requirements, and delivery feasibility • Partner with AI Product Managers to support MVP scope and sequencing decisions, ensuring feasibility and readiness against value hypotheses and success KPIs • Collaborate closely with Architecture, Engineering, and UX to shape agent behavior, orchestration patterns, guardrails, and exception handling early in the lifecycle • Act as the primary execution‑time product contact for engineering teams, clarifying intent, resolving scope questions, and validating delivered outcomes • Own story acceptance and UAT, ensuring delivered agent behavior meets defined success criteria, quality expectations, and regulatory requirements • Manage the post‑release backlog for enhancements, defects, and agent tuning, informed by telemetry, user feedback, and operational insights

Job Requirements

  • 4–6+ years as a Product Owner or Technical Product Manager
  • Hands‑on experience owning backlogs and requirements across PoC, MVP, and Production lifecycles
  • Proven ability to work effectively with cross‑functional teams and deliver high‑quality software solutions
  • Bachelor's degree in a STEM field (Computer Science, Engineering, Data Science, Information Systems, Mathematics, or related discipline), or equivalent practical experience
  • Experience translating requirements for AI or Agentic systems, including workflows involving reasoning, orchestration, and human‑in‑the‑loop patterns
  • Solid understanding of software architecture fundamentals, APIs, data flows, and agile delivery practices
  • Ability to reason about agent behavior, failure modes, and acceptance criteria.

Benefits

  • Incentive plans
  • Bonuses
  • Health and welfare benefits

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