AI Product Manager 2

Experis Technology Group

Redmond (WA)

On-site

USD 74,000 - 80,000

Full time

2 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Medical plan
Dental plan
Vision plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending
Life Insurance
Disability Insurance
Travel Insurance
401(k) Plus Match

Job summary

ManpowerGroup is seeking an AI Product Manager 2 to join the GPU Deployment Hub in Redmond, WA. The role focuses on translating business needs into clear product specs, managing the software delivery lifecycle, and coordinating UAT and production release activities for enterprise-scale deployments.

You will own day-to-day operations, gather requirements, write user stories and acceptance criteria, and collaborate with developers and stakeholders to ensure timely, quality outcomes.

Qualifications

  • 2–4 years of experience in business analysis and writing requirements and user stories, and partnering with stakeholders to clarify needs.
  • 2–4 years delivering technology solutions through the delivery lifecycle: backlog tracking, development coordination, validation, UAT, defect tracking, sign-off, and production release.
  • Hands-on familiarity with Azure DevOps (ADO) or similar work-item/backlog management systems to track KTBR/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.
  • Technical/engineering bachelor’s degree required; construction or non-technical backgrounds are not aligned.

Responsibilities

  • Own day-to-day operational execution for GPU Deployment Hub, including triaging user questions 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, 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.

Skills

Business analysis
User stories
Stakeholder communication
Delivery lifecycle

Education

Bachelor’s degree in engineering or technical field

Tools

Azure DevOps

Job description

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

What's the Job?

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.

What's Needed?
  • 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 DevOps (ADO) or similar work-item/backlog management systems to track KTBR/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.
What's in it for me?

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:

Benefits
  • 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

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

AI Product Manager 2
AI Product Manager 2

Experis • Redmond (WA)

On-site
USD 74,000 - 80,000
Medical and Prescription Drug Plans
Vision Plan
Health Savings Account
+6
AI Product Manager - GPU Deployment Hub (Onsite)
AI Product Manager - GPU Deployment Hub (Onsite)

Experis Technology Group • Redmond (WA)

On-site
USD 74,000 - 80,000
Medical plan
Dental plan
Vision plan
+7
Technical Program Manager, AI & Digital Products
Technical Program Manager, AI & Digital Products

Experis Technology Group • San Jose (CA)

Remote
USD 103,000 - 110,000
Solutions Architect (AWS & AI Engineering)
Solutions Architect (AWS & AI Engineering)

Experis Technology Group • Reston (VA)

Remote
USD 103,000 - 110,000
Medical and Prescription Drug Plans
Dental Plan
Vision Plan
+8
Software Development Engineer 1
Software Development Engineer 1

Experis Technology Group • Austin (TX)

On-site
USD 100,000 - 130,000
Medical and Prescription Drug Plans
Dental Plan
Vision Plan
+8
Technical Program Manager, AI & Digital Products
Technical Program Manager, AI & Digital Products

ManpowerGroup • San Jose (CA)

Remote
USD 103,000 - 110,000
Medical plan
Dental plan
Vision plan
+8
AI Product manager
AI Product manager

Ascendion • Seattle (WA)

On-site
USD 120,000 - 125,000
Medical insurance
Dental insurance
Vision insurance
+5
AI Engineer
AI Engineer

ManpowerGroup Global, Inc. • Charlotte (NC)

On-site
USD 83,000 - 90,000
Medical Plan
Dental Plan
Vision Plan
+3
AI Automation Engineer
AI Automation Engineer

Experis Technology Group • Chandler (AZ)

Hybrid
USD 110,000 - 160,000
Medical plan
Dental plan
Vision plan
+2
AI Product Manager for GPU & Azure Deployments
AI Product Manager for GPU & Azure Deployments

Ascendion • Seattle (WA)

On-site
USD 120,000 - 125,000
Medical insurance
Dental insurance
Vision insurance
+5