Junior AI Product Owner

Role overview

The Junior AI Product Owner is responsible for defining, prioritizing, and delivering AI-driven products and capabilities that solve business problems and create measurable value. You will bridge business stakeholders and data science/engineering/platform teams, translating business needs into AI-ready requirements and ensuring ethical, scalable, high-quality AI throughout the product lifecycle.

Responsibilities

• Product strategy & vision
  • Own the AI product vision, roadmap, and success metrics aligned with business goals and AI maturity strategy
  • Identify and prioritize high-impact AI use cases (e.g., cost reduction, revenue uplift, productivity, risk mitigation)
  • Translate business problems into AI-ready problem statements with objectives, constraints, and expected value
• Backlog & requirements management
  • Convert requirements into Epics, Features, and User Stories with clear acceptance criteria
  • Groom and continuously prioritize the AI product backlog based on value, feasibility, and risk
  • Ensure requirements cover data needs, model behavior, performance thresholds, explainability, and compliance
• Stakeholder collaboration
  • Act as the primary interface between business stakeholders and AI/engineering/platform teams
  • Facilitate trade-offs across accuracy, cost, scalability, latency, and delivery timelines
  • Communicate AI capabilities and limitations to non-technical stakeholders
• AI delivery & lifecycle management
  • Lead initiatives from discovery through post-launch optimization
  • Partner with engineering teams on MLOps, retraining strategy, and monitoring in production
  • Embed human-in-the-loop (HITL) controls and governance where needed
• Quality, ethics & governance
  • Ensure responsible AI principles: fairness, transparency, security, and regulatory compliance
  • Define acceptance criteria for accuracy, bias thresholds, explainability, and operational reliability
  • Support audits, documentation, and governance reviews
• Value tracking & continuous improvement
  • Define and track KPIs for AI outcomes post-deployment
  • Gather feedback and use operational insights to improve models/workflows
  • Drive iterative improvements and backlog refinement

Required skills & qualifications

• Product Owner/Product Manager experience in Agile or SAFe
• Strong backlog management, user story writing, prioritization, and release planning
• Experience working with cross-functional, distributed teams
• Solid understanding of AI/ML concepts, including Generative AI, LLMs, supervised/unsupervised learning, and agent-based systems
• Ability to collaborate closely with data scientists/engineers (without needing to build models hands-on)
• Familiarity with data pipelines, model evaluation metrics, MLOps concepts, and cloud AI platforms

Location / logistics

• Remote (East Coast preferred; ideally near Connecticut)
• Must be able to visit the client location as needed

Experience level

• The posting lists 5+ years experience.