AI Product Manager 2

About the role

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.

Responsibilities

• 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.

Requirements

• 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.
• 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).

Qualifications

Technical/engineering background with a technical/engineering bachelor’s degree required; construction or non-technical backgrounds are not aligned.

Skills

Hands-on familiarity with Azure DevOps (ADO) or similar work-item/backlog management systems to track KTBR/feature requests and drive items to closure.

Benefits

• 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, KTBR 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

Pay

$54/hr to $58/hr on W2

Schedule

Redmond, WA (Onsite, all 5 days)