Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior AI / ML Product Manager role.
Rezi rewrites your resume against Western Governors University's job description. Free.

Tailor your resume to this Senior AI / ML Product Manager role.
Rezi rewrites your resume against Western Governors University's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior AI / ML Product Manager posting at Western Governors University — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior AI / ML Product Manager posting at Western Governors University — free, in seconds.
About the Role
As a Senior AI / ML Product Manager at WGU, you will shape and deliver platforms, governance, and capabilities that empower teams 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.
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.
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.
- 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.
- Candidates who meet the stated experience requirements and demonstrate the skills needed for success are encouraged to apply.
Skills
- AI
- Machine Learning
- Product Management
- Agile
- Enterprise AI implementation
- AI adoption
- Governance
- Vendor evaluation
- Token management
- Cost management
- Access management
- Machine learning products
- Machine learning platforms
- Data analysis
- Business impact articulation
- Communication
- Leadership
- Cross-functional collaboration
- Data-driven decision-making
- Influencing senior leaders
- Higher education
- Education technology
- Enterprise platforms
- Developer tooling
- Data platforms
- Identity and access management
- Enterprise payments
Location
- Salt Lake City, Utah
Work Type
- Full-time
- In-office
Experience Level
- Senior
- 5+ years professional experience
- 3+ years with a master's degree
- 4+ years as a software Product Manager
Education Level
- Bachelor's degree
- Master's degree
- Doctorate or terminal degree
Salary/Compensations
- $143,700.00 - $222,700.00
Benefits
- Bonuses
- Medical healthcare
- Dental healthcare
- Vision healthcare
- Telehealth healthcare
- Mental healthcare
- Health savings account
- Flexible spending account
- Basic life insurance
- Voluntary life insurance
- Disability coverage
- Accident supplemental coverage
- Critical illness supplemental coverage
- Hospital indemnity supplemental coverage
- Legal coverage
- Identity theft coverage
- Retirement savings plan
- Wellbeing program
- Discounted WGU tuition
- Flexible paid time off
- Flexible paid sick time
- 11 paid holidays
- Other paid leaves
- Up to 12 weeks of parental leave
About the Company
- WGU is driven by a mission to expand access to higher education through online, competency-based degree programs.
- WGU is committed to being a great place to work for a diverse workforce of student-focused professionals.
- The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders.
- Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.