[Hiring] Product Manager, AI Products & Agents @Diversified

Role Description

Diversified is seeking a Product Manager, AI Products & Agents to own the product lifecycle for internal AI products, AI agents, and agent-enabled experiences. Reporting directly to the CIO, this role will turn business problems into a prioritized AI product portfolio and guide solutions from discovery and prototyping through production, adoption, measurement, and continuous improvement.

This is a product leadership role that will define product vision and roadmaps, lead Agile delivery and Scrum ceremonies, apply design thinking and user-experience practices, manage the backlog, coordinate business and technical teams, and ensure each AI product has a clear user problem, accountable owner, measurable outcome, and responsible path to production.

Key Responsibilities

• AI Product Strategy & Portfolio:
  • Own the vision, roadmap, prioritization, and lifecycle for Diversified’s portfolio of internal AI products and AI agents.
  • Maintain a portfolio and product backlog covering proposed, active, piloted, production, scaled, and retired AI products.
  • Translate enterprise priorities and requirements into product hypotheses, features, user stories, and measurable outcomes.
  • Analyze investments using business value, user impact, feasibility, readiness, risk, reuse potential, and implementation effort.
  • Define build/buy/configure proposals in partnership with EA, s/w engineering, security, data, and business-system teams.
• Product Discovery, Design Thinking & User Experience:
  • Lead discovery workshops, stakeholder interviews, journey mapping, problem framing, and design-thinking sessions.
  • Define personas, user journeys, acceptance criteria, and target experiences for employees using AI-enabled products.
  • Prototype and test concepts with users before scaling; use feedback and observed usage to refine requirements and experience.
  • Design for appropriate human review, transparency, escalation, and handoffs when agents act on behalf of employees or interact with enterprise processes.
• Agile Product Delivery & Scrum:
  • Serve as product owner for AI products and agents, managing epics, features, user stories, acceptance criteria, and backlog.
  • Lead sprint planning, backlog refinement, demos, retrospectives, and release planning using Agile/Scrum practices.
  • Coordinate AI engineers, automation developers, data teams, architects, platform owners, security, and business SMEs.
  • Set clear definition-of-ready and definition-of-done expectations, including user validation, security, documentation, support, monitoring, and production-readiness requirements.
• AI Agent Quality, Trust & Lifecycle:
  • Define success criteria and evaluation plans for AI agents, including task completion, answer or action quality, user acceptance, reliability, latency, cost, and exception handling where applicable.
  • Partner with technical teams on agent evaluation, testing, observability, changes, retrieval quality, integrations, and monitoring.
  • Maintain clear ownership, dependencies, release history, risks, and lifecycle status for each AI product and agent.
  • Ensure responsible-AI, privacy, cybersecurity, access, data-governance, records, and compliance requirements are incorporated into product design and release decisions.
• Adoption & Value Realization:
  • Own launch readiness, communications, training approach, feedback loops, adoption plans, and post-launch product reviews.
  • Define and report product KPIs such as active usage, task completion, cycle-time improvement, quality, satisfaction, cost-to-serve, risk reduction, and financial impact where measurable.
  • Use telemetry, business outcomes, support data, and user feedback to improve, scale, pause, consolidate, or retire products.
  • Provide concise portfolio, roadmap, risk, and value updates to the CIO, AI governance forums, and business leaders.

Qualifications

• 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 sufficient to partner effectively with AI engineers, architects, data teams, security teams, and business stakeholders.
• 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.

Preferred Qualifications

• Experience delivering enterprise generative-AI, conversational-AI, AI-agent, automation, or knowledge-assistant products.
• Experience with Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Azure OpenAI, Anthropic/Claude, or comparable enterprise AI ecosystems.
• Familiarity with RAG, LLM gateways/model routing, agent orchestration, APIs/integrations, tool use, evaluation frameworks, observability, and human-in-the-loop patterns.
• Experience with Azure DevOps, Jira, Figma, Miro, or comparable product, development, and discovery tools.
• Product, Agile, Scrum, design-thinking credentials such as CSPO/PSPO, CSM/PSM, SAFe Product Owner/Product Manager.
• Experience operating in a global, matrixed enterprise and partnering with executive stakeholders.

Key Skills

• AI Product Management & Product Ownership
• AI Agents / Agentic Product Experiences
• Product Strategy, Roadmaps & Portfolio Prioritization
• Agile, Scrum & Backlog Management
• Design Thinking, User Research & UX
• Product Discovery, Prototyping & Experimentation
• AI Evaluation, Quality & Product Analytics
• Responsible AI, Security & Governance Awareness
• Business Process & Workflow Design
• Change Management, Adoption & Value Realization
• Executive Communication & Cross-Functional Leadership

Key Success Measures

• A single, prioritized portfolio and roadmap for internal AI products and agents with clear owners, outcomes, lifecycle status, and dependencies.
• Consistent product discovery, Agile delivery, user validation, and production-readiness discipline across AI initiatives.
• Higher adoption and repeat usage of released AI products, supported by product telemetry and structured user feedback.
• Documented business outcomes for production AI products, including productivity, quality, cycle time, customer/employee experience, cost, revenue, or risk outcomes where appropriate.
• Fewer disconnected AI experiments through stronger reuse, prioritization, governance, and lifecycle decisions.

Benefits

• Multiple medical plan options to fit you and your family’s needs
• HSA & HRA company contributions
• Dental coverage, including orthodontic benefits, and vision plans
• Company-paid benefits
• Basic Life, AD&D
• Short-Term and Long-Term Disability insurance
• Employee Assistance Program (EAP)
• Generous paid time off — 3 weeks PTO plus company holidays and floating holidays
• 401k with company match
• Paid maternity leave
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• A wide range of voluntary benefits including Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Life and AD&D coverage, and Legal Services
• Commuter benefits
• And much more