AI Product Owner
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Job Description
AI Technical Product Manager overseeing Agentic AI product lifecycles from Proof of Concept to Production in Poland and other European locations.
Responsibilities:
- 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
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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