Product Manager

Akkodis is seeking an AI Product Manager for a Contract with a client located in Redmond, WA 98052—on-site, with strong hands-on experience in Business Analysis/Functional Requirements, Product/Program Delivery, Testing & UAT, Enterprise Application Production Support & Incident Management, ADO, tracking, Supply Chain, Cloud Infrastructure, Azure, AWS, or Google Cloud experience is a plus.

Rate Range: $65/hr - $70/hr (The rate may be negotiable based on experience, education, geographic location, and other factors)

Job Description:

We are seeking an AI Product Manager to support a business-critical application within the client’s Azure Supply Chain organization. This role offers hands-on ownership across product operations, business analysis, testing, release management, production support, and stakeholder engagement.

Top Required Skills (2-4 Years’ Experience):

1. Business Analysis / Functional Requirements

- Experience gathering and translating business needs into clear functional requirements, user stories, acceptance criteria, and process flows.

- Ability to work with business stakeholders and engineering teams to clarify requirements and support implementation.

2. Product / Program Delivery, Testing & UAT

- Experience managing feature requests through the delivery lifecycle, including backlog management, development tracking, functional validation, UAT coordination, defect tracking, business sign-off, and production release.

- Hands-on experience with tools such as Azure DevOps (ADO) or similar work-item/backlog management systems.

3. Enterprise Application Production Support & Incident Management

- Experience providing business/user support for enterprise applications, including issue triage, troubleshooting coordination, incident tracking, and driving issues through resolution.

- Experience working with engineering teams on production incidents and using IcM or similar incident-management systems is preferred

What You'll Do:

Gather and translate business requirements into user stories, acceptance criteria, and functional specifications

Manage features through development, testing, UAT, release, and production support

Coordinate with business stakeholders and engineering teams

Track incidents, troubleshoot issues, and drive resolution efforts

Support GPU Deployment Hub, a high-visibility platform used across multiple client organizations

Prepare release communications and support ongoing application operations

Ideal Candidate:

Bachelor's degree in Computer Science, Engineering, or related technical field

2-4 years of Product Management, Program Management, Business Analysis, or Application Support experience

Strong understanding of SDLC, Agile methodologies, and enterprise applications

Experience with Azure DevOps, UAT coordination, backlog management, and incident tracking

Supply Chain, Cloud Infrastructure, Azure, AWS, or Google Cloud experience is a plus

Why This Role?

High-visibility project supporting GPU capacity deployment initiatives

End-to-end product lifecycle ownership

Direct collaboration with business and engineering leaders

Opportunity to work at the intersection of AI, Cloud, Infrastructure, and Product Operations

Strong learning and growth potential within a fast-paced client environment

Equal Opportunity Employer/Veterans/Disabled:

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance