Product Manager

Own a feature area across Henderson’s AI-enabled digital product portfolio, leading from vision through discovery, delivery, and adoption for MEP workflows and emerging tools.

Responsibilities

• Own the feature vision, roadmap, and outcomes for a defined product area, aligned to the product strategy set by the Product Management Director
• Find opportunities to apply AI, MCP, agentic workflows, automation, and adjacent technologies to meaningful user and business problems
• Translate desired outcomes into requirements, user stories, acceptance criteria, and release increments developers can execute
• Continuously sequence the backlog with the assigned software development team, balancing value, risk, technical feasibility, learning, and speed
• Break complex opportunities into small, testable releases to deliver value early and build evidence for the next iteration
• Make scope, sequencing, and release decisions with guidance from the Product Management Director, escalating changes that materially affect the value case or portfolio roadmap
• Define success measures, monitor performance, and adjust direction based on adoption, user feedback, operational data, and business outcomes
• Use established discovery methods, partnering with engineers, internal users, business leaders, and other stakeholders to understand workflows, pain points, constraints, and desired outcomes
• Convert discovery into validated problem statements and outcome hypotheses rather than taking feature requests at face value
• Evaluate where AI and automation create differentiated value
• Run rapid experiments, prototypes, and proofs of concept to test desirability, feasibility, quality, safety, and value before scaling
• Work with technical subject matter experts to define data, integration, security, and governance constraints for the feature area
• Maintain awareness of relevant AI capabilities and emerging tools, separating practical opportunities from short-lived trends
• Build alignment on the problems, target outcomes, priorities, constraints, and measures of success with stakeholders
• Partner with product design to create intuitive, trustworthy experiences
• Collaborate day to day with the software development team across discovery, planning, build, validation, release, and iteration
• Make timely decisions and resolve ambiguity so developers can maintain momentum
• Drive adoption and realized value by engaging directly with the sectors and engineering teams that use the feature area
• Instrument the feature area for usage analytics, quality signals, and structured feedback, then prioritize subsequent iterations based on insights
• Communicate progress, evidence, tradeoffs, risks, and outcomes to users, stakeholders, developers, and leadership
• Report feature-area performance, adoption, learning, and realized value to the Product Management Director
• Share discovery findings, AI learnings, and lessons learned with the product team
• Participate in peer reviews of requirements, roadmaps, and experiment designs, giving and receiving feedback
• Maintain clear communication, listen to others, respond openly, and demonstrate consideration for different perspectives
• Take responsibility for actions, deliver on commitments, aim to understand how actions impact others, and ensure work is done correctly
• Support client expectations, follow policies and procedures, share time and effort with others, and pursue continuous learning
• Other duties as assigned

Requirements

• Bachelor’s degree in engineering, computer science, information systems, business, or a related field required
• 4+ years of relevant experience required, including at least 2 years in product management, product ownership, or a comparable role delivering software products
• Working knowledge of AI and machine learning capabilities, including large language models, required
• Experience working in Agile environments using modern product and project management tools (e.g., ClickUp, Linear, Jira), including backlog management, user stories, and acceptance criteria, required
• Must demonstrate proficiency in all core competencies described and characterized in this job description

Technologies

• AI
• MCP
• Agentic workflows
• Automation
• Large language models
• Machine learning
• ClickUp
• Linear
• Jira
• Agile
• Revit
• Autodesk Construction Cloud

Benefits

• Flexible Work Hours
• Casual Dress Code
• Paid Volunteer Time
• Paid Parental Leave
• Health and Wellness Initiatives
• Receptive and Forward-Thinking Leadership
• Clear Career Path Options
• Industry-leading 401K match and profit sharing
• Employee Stock Ownership Plan
• Paid Training for Professional Development
• Performance Bonuses
• Comprehensive and Extensive Insurance
• Paid Term Life and Disability
• Health Savings Account & Flexible Spending Accounts
• Paid Time Off and Sick Time off
• Financial Wellness & Coaching Program

Physical & Other Requirements

• Other duties as assigned
• Prolonged periods of sitting or standing at a desk and working on a computer
• Ability to read, write and communicate in English
• Travel required up to 10% of the time

Location: Lenexa, KS (onsite)