AI Product Manager

About the role

What you'll do

• We are seeking a motivated, customer-focused AI Product Manager to join Deltek’s growing AI Center of Excellence and deliver internal AI-powered products and solutions. You will bridge internal stakeholder requirements, Agentic AI capabilities, and engineering execution to create impactful AI-driven experiences. The role requires solid product management fundamentals, a working understanding of AI/ML technologies, and the ability to translate technical concepts into business value.
• You will own the roadmap and delivery for assigned AI products, features, or product areas. That includes writing PRDs, defining personas, user stories and epics, running scrum calls, and driving delivery from kickoff to release. You will work closely with AI data scientists, engineers, designers, and business stakeholders. This role reports to the Senior Director, AI Solutions.
• Product Strategy & Vision
• Contribute to the product vision, strategy, and roadmap for assigned AI-powered products and execute against them.
• Identify business opportunities where AI can create measurable value and bring them forward with supporting analysis.
• Conduct market research, competitor analysis, and customer discovery to inform product decisions.
• Define product goals, KPIs, and success metrics for assigned products and track progress against them.

What you'll bring

• Author Product
• Requirements Documents (PRDs) covering problem statement, goals and KPIs, functional and non-functional requirements, process flow, dependencies, risks, and open questions; publish and maintain them in Confluence.
• Define personas and document current-state and future-state processes with internal customers and cross-functional teams.
• Write user stories and acceptance criteria that are clear, testable, and ready for engineering; validate them with business users.
• Work with the AI/ML team to define quality criteria and test approaches for AI outputs, such as grounding, accuracy, traceability, and usable first drafts.
• Specify human-in-the-loop review and governance controls for AI outputs before they reach customers.
• Epics, Backlog & Delivery Management
• Define epics and break them into stories and tasks in Jira; keep the epic-level roadmap and boards current.
• Prioritize and maintain the backlog for assigned products based on customer impact and business objectives.
• Lead scrum calls: stand-ups, sprint planning, backlog refinement, demos, and retrospectives, acting as product owner or scrum master as needed.
• Drive delivery end to end, from kickoff to release. Manage scope, timelines, dependencies, risks, and blockers across Engineering, Technology, Legal, and business teams.
• Coordinate user acceptance testing, product releases, and rollout, and track the delivered outcome against the agreed KPIs.