Senior AI / ML Product Manager

If you're passionate about building a better future for individuals, communities, and our country,and you're committed to working hard to play your part in building that future,consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

A reasonable estimate of the current range is: Grade: Technical 410 Pay Range: $143,700.00 - $222,700.00

As a Senior AI / ML Product Manager, 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.

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.
• 7+ years of experience as a Software Product Manager, Product Owner, or in other related and applicable product management experience.
• 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.

What to Expect

• Introductory call
• Virtual interview with the Hiring Manager
• Leadership interview

This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office.

The position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year).

Benefits

• 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;
• 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;
• Other paid leaves, including up to 12 weeks of parental leave.