Job Description

If you are passionate about enabling transformative AI capabilities at enterprise scale and thrive at the intersection of technology, strategy, and business impact, we invite you to join WGU as a Senior AI / ML Product Manager. In this role, you will help shape and deliver the platforms, governance, and capabilities that empower teams across the organization to safely and effectively leverage artificial intelligence and machine learning.

You will partner closely with engineering, design, data, and business stakeholders to define product strategy, prioritize investments, and deliver measurable outcomes that advance organizational goals. This is an opportunity to influence the future of AI enablement in a mission-driven organization while working on complex, high-impact challenges.

What You'll Do

• Define and execute product strategies and roadmaps that enable enterprise-wide AI and machine learning capabilities.
• Partner with engineering, UX, data, and business stakeholders to identify opportunities, prioritize investments, and deliver customer value.
• Lead discovery efforts to deeply understand user needs, business objectives, and technical constraints.
• Drive outcome-based product management practices, establishing success metrics and using data to inform decision-making.
• Manage prioritization, roadmap planning, and tradeoff decisions across competing business and technical demands.
• Collaborate with stakeholders across the organization to support AI adoption, governance, platform enablement, and operational excellence.
• Communicate product vision, progress, risks, and outcomes to leaders, including executive-level audiences.

What You'll Bring

• Bachelor's degree.
• 5+ years of professional experience, or 3+ years with a master's degree, or a doctorate or terminal degree without experience.
• 4+ years of demonstrated experience working as a software Product Manager.
• Experience working in Agile environments.
• Enterprise AI implementation experience, including AI adoption, governance, vendor evaluation, token management, cost management, access management, or related capabilities.
• Experience supporting machine learning products or platforms that deliver meaningful business outcomes.
• Experience enabling AI capabilities that are broadly adopted across an enterprise rather than supporting a single application or use case.
• Experience working with large, unstructured datasets to generate actionable insights and business value.
• Demonstrated ability to articulate measurable business impact, including efficiency gains, operational improvements, customer value, or revenue impact.
• Excellent presentation, written, and verbal communication skills.
• Strong passion for exploring and understanding customer needs.
• Natural leadership instincts with a positive team-building approach.
• Demonstrated ability to define product strategy, prioritize work, and deliver measurable business outcomes.
• Experience partnering with cross-functional teams including engineering, design, data, and business stakeholders.
• Ability to measure product health and leverage data to drive prioritization and product decisions.
• Experience influencing senior leaders and executive stakeholders and driving cross-functional alignment.

Bonus Points

• Experience in higher education or education technology.
• Broad exposure to enterprise platforms, developer tooling, data platforms, identity and access management, enterprise payments, or related technical product domains.

Experience in Lieu of Education

WGU recognizes that talent comes from many paths. Candidates who meet the stated experience requirements and demonstrate the skills needed for success are encouraged to apply.
What to Expect

At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.

We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.

• Introductory call
• Onsite interview with Hiring Manager
• Technical video interview
• Leadership interview

Work Location

This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship

While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement

This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.