Job Description
This is a remote position.
We are looking for an
AI Product Owner
with experience in enterprise B2B products to lead scope definition, backlog prioritization, and the delivery of the MVP for an AI Agent-based platform.
This person will be responsible for translating business and product requirements into an executable roadmap, maintaining strong scope discipline, and ensuring that each phase delivers measurable value without compromising the overall product vision.
This is a highly strategic role that requires close collaboration with Product, Engineering, Architecture, Subject Matter Experts (SMEs), and design partners to define clear acceptance criteria, manage priorities, and drive execution with a strong focus on delivering business outcomes.
Requirements
? Key Responsibilities
Own and manage the Product Backlog for each phase of the project.
Write clear, measurable, and testable acceptance criteria.
Prioritize features and make scope decisions to ensure the successful delivery of an achievable MVP.
Maintain a decision log documenting "Manual Now vs. Automate Later" trade-offs to guide product evolution.
Define objective quality metrics for AI agent behavior in collaboration with the Tech Lead and the Agent Quality/Evals team.
Enforce scope discipline throughout execution and prevent scope creep.
Coordinate working sessions with Subject Matter Experts (SMEs), stakeholders, and design partners.
Manage executive expectations and facilitate alignment across Product, Engineering, and business teams.
Translate Product Requirements Documents (PRDs) and Product Design Documents (PDDs) into well-defined user stories ready for development.
Identify dependencies, prioritize work, and organize delivery into incremental releases.
✅ Required Qualifications
5+ years of experience as a Product Owner, Product Manager, or in a similar role delivering enterprise B2B technology products.
Proven experience managing product backlogs in Agile environments (Scrum and/or Kanban).
Demonstrated ability to write clear, concise, and testable user stories and acceptance criteria.
Experience working closely with engineering teams and technical platform products.
Knowledge of or hands-on experience with Artificial Intelligence products, Large Language Models (LLMs), or AI agent-based systems.
Strong prioritization, decision-making, and product management skills.
Proven experience managing multiple stakeholders and aligning executive expectations.
Advanced conversational English (B2 or higher).