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

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.

AI Product Owner

Key skills