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Open nowPosted 14 hours ago

Product Manager

Henderson Companies73 open roles

Where
Kansas City, MO, USA
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Your applicationOpen nowProduct ManagerHenderson Companies · Kansas City, MO, USA

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Henderson Companies postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted 14 hours ago

Henderson Companies median: 20 days open

The posting

Position Summary

The Product Manager manages a well-defined feature area within Henderson’s AI-enabled digital product portfolio, with a focus on MEP workflows, artificial intelligence, and related emerging tools. Working within the product strategy set by the Product Management Director, with regular guidance on direction and tradeoffs, this role establishes the feature vision and outcomes, works closely with stakeholders to understand high-value problems, and partners with product design, technical subject matter experts, and software developers to deliver useful capabilities quickly and iteratively. The Product Manager is accountable for the feature area’s direction, adoption, and measurable business value, and continues to build their product practice alongside colleagues on the product team.

Essential Job Functions & Accountabilities

Product Ownership & Delivery

Owns the vision, roadmap, and outcomes for an area of the product, aligned to the product strategy set by the Product Management Director. Identifies opportunities to apply AI, MCP, agentic workflows, automation, and adjacent technologies to meaningful user and business problems. Translates desired outcomes into clear requirements, user stories, acceptance criteria, and release increments that developers can act on. Owns and continuously sequences the backlog with the assigned software development team, balancing value, risk, technical feasibility, learning, and speed. Breaks complex opportunities into small, testable releases that deliver value early and generate evidence for the next iteration. Makes scope, sequencing, and release decisions for the feature area with guidance from the Product Management Director, escalating changes that materially affect the value case or portfolio roadmap. Defines success measures, monitors performance, and adjusts direction based on adoption, user feedback, operational data, and business outcomes.

Discovery, AI Fluency & Experimentation

Applies the team’s established discovery methods, working directly with engineers, internal users, business leaders, and other stakeholders to understand workflows, pain points, constraints, and desired outcomes. Turns discovery findings into validated problem statements and outcome hypotheses rather than accepting feature requests at face value. Evaluates where AI and automation can create differentiated value. Runs rapid experiments, prototypes, and proofs of concept to test desirability, feasibility, quality, safety, and value before scaling investment. Partners with technical subject matter experts to define data, integration, security, governance, and engineering constraints for the feature area. Maintains awareness of relevant AI capabilities and emerging tools, separating practical opportunities from short-lived technology trends.

Stakeholder Partnership, Delivery & Adoption

Builds alignment with stakeholders on the feature area’s problems to solve, target outcomes, priorities, constraints, and measures of success. Partners with product design to create intuitive, trustworthy experiences. Works day to day with the software development team throughout discovery, planning, build, validation, release, and iteration. Makes timely product decisions and resolves ambiguity so developers can maintain momentum and deliver value quickly. Drives adoption and realized value by engaging directly with the sectors and engineering teams that use the feature area. Instruments the feature area for usage analytics, quality signals, and structured feedback, then applies those insights to prioritize subsequent iterations. Communicates progress, evidence, tradeoffs, risks, and outcomes clearly to users, stakeholders, developers, and leadership. Reports feature-area performance, adoption, learning, and realized value to the Product Management Director. Shares discovery findings, AI learnings, and lessons learned with the product team.

Participates in peer reviews of requirements, roadmaps, and experiment designs, giving and receiving feedback to strengthen the team’s work.

Core Competencies

Communication

Keeps others informed, conveying information clearly and with an appropriate level of detail. Listens attentively to others and takes an interest in what they have to say. Responds openly to others, encouraging honest, productive communication.

Integrity

Demonstrates consideration for the opinions, perspectives, and experiences of others. Takes responsibility for personal actions and delivers on commitments. Aims to understand how actions impact others.

Quality Orientation

Takes steps to ensure work is done correctly. Delivers on client expectations. Strives to follow policies and procedures.

Teamwork/Inclusion

Shares time, effort, and consideration with others. Gets curious, takes interest, and learns from the diversity of others. Shows enthusiasm for team goals.

Continuous Learning

Views mistakes and change as a growth opportunity. Recognizes gaps in personal knowledge and enthusiastically pursues opportunities to learn something new. Engages others when tackling an unfamiliar task or responsibility.

Functional/Technical Expertise

Recognizes routine problems and identifies solutions. Keeps up with industry and/or discipline standards. Maintains best practice throughout all job functions.

Required Education, Experience, Licenses & Technical Competencies

Bachelor’s degree in engineering, computer science, information systems, business, or a related field required. 4 or more years of relevant experience required, including at least 2 years in product management, product ownership, or a comparable role delivering software products. Experience in the AEC industry or with MEP design workflows preferred. Working knowledge of AI and machine learning capabilities, including large language models, required. Hands-on experience with agentic workflows and integration patterns such as MCP preferred. 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. Familiarity with Revit, Autodesk Construction Cloud, or other AEC design platforms preferred. Product management certification (e.g., CSPO, Pragmatic Institute, or SAFe POPM) preferred. Demonstrated success contributing to features from discovery through release and measurable adoption. Experience defining success metrics and using usage analytics, user feedback, and operational data to guide product decisions preferred. Must demonstrate proficiency in all core competencies as described and characterized in this job description.

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.

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