AI Product Manager

Our client, a technology organization supporting Azure Supply Chain, is seeking an AI Product Manager to join their team. As an AI Product Manager, you will be part of the S&T Engineering organization supporting the GPU Deployment Hub. The ideal candidate will have strong end-to-end product/program delivery experience, the ability to translate business needs into clear functional requirements, and a proven track record coordinating testing/UAT and production support in an enterprise environment.

Job Title:

AI Product Manager 2

Location:

Redmond, WA (Onsite, all 5 days)

Pay Range: $54/hr to $58/hr on W2

Own day-to-day operational execution for GPU Deployment Hub, including triaging user questions, investigating production issues, and coordinating follow-ups toward resolution. Gather business requirements and translate them into product specifications/features, including writing clear functional requirements, user stories, acceptance criteria, and process flows. Coordinate with developers to support delivery through the software development lifecycle, including sandbox validation, business UAT coordination, sign-off, and production release communications.

Support UX and testing/UAT by facilitating feedback loops, tracking defects/issues, and ensuring capabilities are ready for business users. Maintain operational discipline by tracking KTBRs and feature requests through requirements, development, testing/UAT, and production deployment, while communicating status to stakeholders.

• 2-4 years of experience in business analysis and functional requirements: gathering business needs, writing user stories, acceptance criteria, and process flows, and partnering with stakeholders to clarify requirements.
• 2-4 years of experience delivering technology/business application solutions through the delivery lifecycle: backlog tracking, development coordination, functional validation, UAT coordination, defect tracking, sign-off, and production release.
• Hands-on familiarity with Azure Dev Ops (ADO) or similar work-item/backlog management systems to track KT /feature requests and drive items to closure.
• 2-4 years of experience in enterprise application production support and incident management: triaging issues, coordinating troubleshooting with engineering teams, and driving resolution through incident workflows (ICM or similar preferred).
• Technical/engineering background with a technical/engineering bachelor’s degree required; construction or non-technical backgrounds are not aligned.

High business visibility and impact by working directly with GPU Deployment Hub users and stakeholders across multiple organizations. End-to-end lifecycle exposure—from requirements and functional specs to validation, UAT, release communication, and production support. Meaningful ownership of operational workflows, KT  coordination, testing/UAT execution, and follow-through on open actions. Hands-on problem solving through real production issue investigation, coordination of resolution, and continuous improvement of the user experience.

Strong learning opportunity at the intersection of product operations, business analysis, engineering delivery, and cloud-based deployment workflows.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match Weekly Pay

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