Role OverviewThe Technical Product Manager, AI Delivery (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.
What You Will Do
Responsibilities include owning sprint methodology execution, translating approved use cases into specific product requirements, managing the pilot intake pipeline mechanics, and maintaining the program's delivery metrics and pilot portfolio dashboard.
Why It Might Be a Fit
The ideal candidate has 4+ years of technical program management experience, AEC industry experience, and CSPO, PMP, or SAFe Product Owner credentials. They should be able to write product requirements, have hands-on experience with agile or sprint-based delivery methodology, and understand AI or data product development.
Requirements
- 4+ years of technical program management experience
- AEC industry experience, especially in construction, engineering, or technical project delivery
- CSPO, PMP, or SAFe Product Owner credentials
- Ability to write product requirements, including user stories, acceptance criteria, data requirements, and API specifications
- Hands-on experience with agile or sprint-based delivery methodology
- Working familiarity with AI or data product development
Benefits
- 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
- Family formation benefits, including adoption and IVF assistance
- Up to 16 weeks paid parental leave
- Transgender inclusive benefits
- Commuter benefits
- Pet insurance
- Learning and advancement opportunities via McKinstry University
- McKinstry Moves onsite gyms or reimbursement for remote workers
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