Technical Product Manager, AI Delivery

McKinstry Company; Seattle (WA); On-site; USD 99,000 - 170,000; Full time

Benefits offered by this job

Competitive pay

401(k) with employer match

Paid time off

Medical, dental, vision coverage

Parental leave

Family formation benefits

Commuter benefits

Learning and advancement via McKinstry

Onsite gym / remote reimbursement

Job summary

McKinstry is seeking a Technical Product Manager for AI Delivery to turn AI strategy into shipped tools and measurable outcomes. You will own the intake, scoping, success metrics, and lifecycle from pilot to production, translating use cases into buildable requirements for AI engineering teams.

You will drive sprint execution, define acceptance criteria, data needs, and API specs, and manage pilots across multiple divisions. Strong agile experience and ROI focus are essential.

Qualifications

• Experience turning AI strategy into buildable product requirements.
• Ability to define success metrics for pilots and ROI.
• Knowledge of agile/sprint ceremonies and backlog governance.
• Ability to write clear acceptance criteria and data needs.

Responsibilities

• Own sprint methodology execution across all active AI tools and pilots.
• Translate approved use cases into product requirements and specs.
• Manage pilot intake, evaluation, scoring, and decision documentation.
• Own product lifecycle from pilot approval to production deployment.
• Maintain delivery metrics and pilot portfolio dashboards.

Skills

Product lifecycle

Agile delivery

Sprint planning

User stories

Acceptance criteria

Data requirements

API specs

AI product dev

ROI metrics

Stakeholder mgmt

Cross-functional work

Requirements writing

Education

CSPO

PMP

SAFe Product Owner

Job description

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 Opportunity with McKinstry

The Technical Product Manager, AI Delivery (TPM) 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, success metric definition and the product lifecycle from pilot approval to production 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.

Responsibilities include:

• 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 uccess 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 Division, success rate, time from intake to decision, time from approval to first user and net ROI for closed pilots to ensure current data.

What You Need to Succeed at McKinstry:

• 4+ years of technical program management with demonstrated ability to own a product lifecycle from requirements to shipped software.

• AEC industry experience is a plus, especially in construction, engineering or technical project delivery.

• 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.

• Hands-on experience with agile or sprint-based delivery methodology; has run 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, 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 workstreams simultaneously while managing active pilots in two or three Divisions at once without losing track of scope, timeline or decision owners

• Strong written communication skills.

PeopleFirst Benefits

When it comes to the basics, we have you covered:

• Competitive pay
• 401(k) with employer match and profit-sharing plan
• Paid time off and holidays
• Comprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximums

People come first at McKinstry, and we go beyond the basic benefits with:

• Family formation benefits, including adoption and IVF assistance
• Up to 16 weeks paid parental leave
• Transgender inclusive benefits
• Commuter benefits
• Pet insurance
• "Building Good" paid community service time
• Learning and advancement opportunities via McKinstry University
• McKinstry Moves onsite gyms or reimbursement for remote workers

See benefit plan documents for complete details.

If you're driven by our vision to build a thriving planet together, McKinstry is the place to build your career.

The pay range for this position is $99,270 - $169,900 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Base pay information is based on market location.

The McKinstry group of companies are equal opportunity employers. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity.

McKinstry is a drug-free workplace. Employment is contingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks.

Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.