Principal AI Product Manager

UKG is a leading Workforce Operating Platform focused on enhancing workforce understanding and productivity. They are seeking a Principal AI Product Manager to lead the development of AI-powered experiences across their enterprise SaaS portfolio, working closely with cross-functional teams to identify and prioritize opportunities for AI integration.

Responsibilities:

• 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
• 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
• 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
• Partner with AI teams to ensure capabilities are built for 'product-readiness,' focusing on customer usability, scalability, latency, and real-world utility
• Act as the guardian of AI integrity for scope, ensuring models and agents adhere to UKG’s governance frameworks, 'People-First AI' ethics, and global regulatory standards

Requirements:

• 10+ years of experience in product management, with a significant focus on delivering complex SaaS products
• 5+ years of experience in AI/ML Product Management, specifically partnering with Data Science teams to ship production-grade models or agents
• Strong analytical skills to evaluate business processes and identify high-impact opportunities for automation and predictive intelligence
• Exceptional at writing functional specifications for AI systems and confidently engaging with executives and customers to present platform updates
• Ability to engage deeply with technical AI teams on evaluations (e.g., precision/recall, confidence scores) while translating those technicalities into business value
• Proven track record of shipping production-grade AI/ML products (e.g., skills, agents, recommendation engines, forecasting, or LLM-based functionality)
• Deep understanding of the operational challenges in Healthcare, Retail, other frontline workforce management with success in taking a technical solution from one industry and successfully adapting it for another
• Ability to bring structure to ambiguous AI opportunities and translate them into clear product strategy, priorities, and execution plans
• Ability to align stakeholders across product, engineering, design, data science, legal, security, and business teams without relying solely on formal authority
• Proven ability to understand complex customer workflows and identify where technology can reduce friction, improve outcomes, or increase productivity
• Ability to balance customer-facing product needs with reusable platform capabilities, scalability, and long-term architectural fit
• Experience delivering complex SaaS products from concept through launch, adoption, and iteration
• Prior experience in Healthcare Workforce Management or Clinical Staffing is a major plus