Principal AI Product Manager

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters and so do you.

We are seeking an entrepreneurial Principal Product Manager to help shape and scale the next generation of AI-powered and agentic experiences across our enterprise SaaS portfolio. This role will report into Product leadership for AI and will partner closely with product, engineering, design, data science, and governance teams to identify high-value opportunities where AI can meaningfully improve customer workflows.

This is a high-impact role for a product leader who can operate at the intersection of customer needs, AI capabilities, platform strategy, and enterprise software execution. You will help evaluate and prioritize agentic AI opportunities, refine product requirements, and guide cross-functional teams as they bring intelligent, workflow-oriented experiences from concept to launch.

The ideal candidate should be technically fluent, comfortable working with AI and platform teams, and skilled at translating complex AI capabilities into practical, trusted, customer-facing product experiences.

AI Product Strategy & Opportunity Prioritization

• Identify and evaluate high-impact opportunities for AI-powered agents, assistants, and workflow automation across enterprise customer experiences.
• Partner with domain product leaders to understand customer pain points, operational workflows, and areas where AI can create measurable value.
• Develop clear prioritization recommendations that balance customer impact, business value, feasibility, platform readiness, risk, and strategic fit.
• Help shape a focused roadmap for agentic AI capabilities, ensuring teams are investing in the right opportunities at the right time.
• Build alignment across product, engineering, design, data science, and business stakeholders around AI product priorities and expected outcomes.

Product Requirements & Platform Alignment

• Translate early AI concepts into clear, actionable product requirements that define user needs, workflow context, expected outcomes, success metrics, and guardrail requirements.
• Partner closely with platform and engineering teams to ensure AI-powered experiences are scalable, secure, reliable, and aligned with broader product architecture.
• Help define reusable patterns for how agents, assistants, and intelligent workflows are designed, evaluated, launched, and improved over time.
• Ensure product requirements account for data needs, integration points, permissions, user controls, transparency, and operational readiness.
• Collaborate with UX and research teams to create AI experiences that feel intuitive, useful, and trustworthy for customers.

Cross-Functional Execution

• Serve as a key connector across product domains, AI platform teams, engineering, design, architecture, legal, security, and go-to-market partners for these agentic solutions.
• Guide AI product capabilities through the full lifecycle, from discovery and opportunity assessment through development, preview, launch, adoption, and iteration.
• Support rapid experimentation while maintaining focus on customer value, product quality, responsible AI practices, and enterprise readiness.
• Define and track success metrics such as adoption, task completion, productivity improvement, workflow quality, customer satisfaction, and business impact.
• Partner with customer-facing teams to gather feedback, validate use cases, and inform future roadmap decisions.
• Concept-to-Product Orchestration:
  Partner with AI teams to ensure capabilities are built for "product-readiness", focusing on customer usability, scalability, latency, and real-world…