Senior AI / ML Product Manager

Western Governors University•Salt Lake City, UT

3d•$143,700 - $222,700•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.