Technical Product Manager, AI Delivery

Build the future, spark innovation and align your career with purpose.

McKinstry is innovating the waste and climate harm out of the built environment and creating lasting impact. Together, we're building a thriving planet.

Buildings are a leading contributor to the climate crisis, generating nearly 40% of total global energy-related carbon emissions. We're making a lasting impact on our industry and within our communities by addressing the climate, affordability and equity crises through:

• renewables and energy services
• engineering and design
• construction and facility services

To get where we're going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you?

The Technical Product Manager, AI Delivery is the delivery engine that turns AI strategy into shipped tools, measurable outcomes, and production-ready capabilities for the business. The TPM is responsible for owning the intake pipeline mechanics, use case scoping, value case, success metric definition and the product lifecycle from pilot approval to production deployment and tracking the value /ROI after deployment. This role serves the AI program by translating approved use cases into specific, buildable product requirements that the AI engineering team can execute without ambiguity and by managing the pilot lifecycle so that Directors can focus on strategy and stakeholder relationships.

• Own sprint methodology execution across all active AI tools. This includes running planning, standups, sprint reviews and retrospectives and ensuring that every pilot in the active portfolio has a clear scope, a measurable success criterion, and a named decision owner before it starts.
• Translates approved use cases from the business into specific product requirements such as user stories, acceptance criteria, data requirements, integration specifications and AI evaluation metrics.
• Manages the pilot intake pipeline mechanics including the intake form, evaluation process, scoring and the documentation that supports the decision.
• Owns the product lifecycle from pilot approval to production deployment; tracking pilot progress against success criteria, flagging scope creep and timeline risk managing the handoff from pilot to production.
• Maintains the program's delivery metrics and pilot portfolio dashboard to include active pilots by Corporate Service Unit (intrnal teams and functions), success rate, time from intake to decision, time from approval to first user and net ROI for closed pilots to ensure current data.

• 4+ years of technical program management, product management or management consulting with demonstrated ability to own a product lifecycle from requirements to shipped software.
• Demonstrated product ownership and business advisory experience with the abiity to understand a variety of Corporate Service Unit priorities at a high level, challenge requirements constructively and guide stakeholders toward best-practice workflows and measurable business outcomes.
• AEC industry experience, especially in construction, engineering or technical project delivery is preferred.
• CSPO, PMP or SAFe Product Owner credentials strongly preferred.
• Able to write product requirements including user stories, acceptance criteria, data requirements and API specifications that engineering teams can build from without a follow up meeting and advise the Corporate Service Units on best practices for future worklows and business requirements (critical to not just be an order taker but to be able to
• challenge requirements if they fall outside of best practices).
• Hands-on experience with agile or sprint-based delivery methodology; has run large-scale increment planning, sprint planning, retrospectives and backlog grooming as the product owner or delivery lead, not just as a participant.
• Working familiarity with AI or data product development; understands the difference between a traditional software product and an AI-powered product well enough to write appropriate acceptance criteria and evaluation metrics for AI outputs.
• Strong analytical skills; can define a success metric for a pilot before it starts, help the Corporate Service Units create a value case for the pilot and project, track it during execution, and calculate net ROI at close with enough rigor to defend the number in an executive review.
• Comfortable working across multiple work streams simultaneously while managing active pilots in…