Product Manager, AI Products – Agents

Diversified

. Own the vision, roadmap, prioritization, and lifecycle for Diversified’s portfolio of internal AI products and AI agents .

Posted 11/10/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management and ownership, with a strong focus on AI products and agile methodologies. Capable of translating enterprise priorities into actionable product features and measurable outcomes while ensuring compliance with responsible AI and data governance standards.

Highest-signal resume keywords

Product ManagementAgile/Scrum SkillsDesign ThinkingGenerative AI KnowledgeStakeholder Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product OwnershipUser StoriesBacklog ManagementPrototypingJourney MappingAcceptance CriteriaKPI DefinitionContinuous ImprovementDigital Product ExperienceEnterprise Applications

Soft Skills

Executive CommunicationFacilitationPrioritizationCross-Functional CollaborationProblem Framing

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Information SystemsBachelor’s Degree in Product Design

Industry Keywords

AI ProductsResponsible AIData GovernanceCybersecurityComplianceAutomationUser ExperienceHuman-Centered DesignAgile MethodologiesProduct Roadmap

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Own the vision, roadmap, prioritization, and lifecycle for Diversified’s portfolio of internal AI products and AI agents
Maintain a portfolio and product backlog across proposed, active, piloted, production, scaled, and retired AI products
Translate enterprise priorities into product hypotheses, features, user stories, and measurable outcomes
Lead discovery workshops, stakeholder interviews, journey mapping, problem framing, and design-thinking sessions
Define personas, user journeys, acceptance criteria, and target experiences
Prototype and test concepts with users before scaling
Serve as product owner, managing epics, features, user stories, acceptance criteria, and backlog
Lead sprint planning, backlog refinement, demos, retrospectives, and release planning
Coordinate AI engineers, automation developers, data teams, architects, platform owners, security, and business SMEs
Define AI-agent success criteria and evaluation plans
Partner on agent evaluation, testing, observability, integrations, retrieval quality, and monitoring
Incorporate responsible-AI, privacy, cybersecurity, access, data-governance, records, and compliance requirements into product decisions
Own launch readiness, communications, training approach, feedback loops, adoption plans, and post-launch reviews
Define and report product KPIs and provide portfolio, roadmap, risk, and value updates to the CIO, AI governance forums, and business leaders

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Product Design, or equivalent practical experience
5+ years of product management, product ownership, digital product, enterprise applications, or automation experience
Demonstrated ownership from discovery and roadmap to delivery, adoption, measurement, and continuous improvement
Strong Agile/Scrum skills, including roadmap, backlog, user stories, acceptance criteria, sprint planning, and demos
Practical experience applying design thinking, human-centered design, journey mapping, prototyping, or UX practices
Working knowledge of generative AI and AI-agent concepts
Strong executive communication, facilitation, prioritization, and cross-functional stakeholder-management skills
Ability to manage multiple products and workstreams with clear decisions, dependencies, risks, and measurable outcomes