Principal AI Product Manager

UKG•,

5d•$163,900 - $235,550

About The Position

UKG is 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.

Requirements

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.
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.

Nice To Haves

Prior experience in Healthcare Workforce Management or Clinical Staffing is a major plus.

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.