Principal AI Product Manager
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AI Summary
Lead the strategy and scaling of AI-powered agentic experiences across an enterprise SaaS portfolio. Partner with cross-functional teams to translate complex AI capabilities into practical, trusted customer workflows and product requirements.
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.
About the role:
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.
Key Responsibilities:
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.
About the role:
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.
Key Responsibilities:
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.
* 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 utility.
* Governance Adherence: 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.
Required Capabilities:
* AI Technical Fluency: Ability to engage deeply with technical AI teams on evaluations (e.g., precision/recall, confidence scores) while translating those technicalities into business value.
* Domain Expertise: Proven track record of shipping production-grade AI/ML products (e.g., skills, agents, recommendation engines, forecasting, or LLM-based functionality).
* Vertical Knowledge and Portability: 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
* Entrepreneurial Mindset with Strategic product leadership: Ability to bring structure to ambiguous AI opportunities and translate them into clear product strategy, priorities, and execution plans.
* Cross-functional influence: Ability to align stakeholders across product, engineering, design, data science, legal, security, and business teams without relying solely on formal authority.
* Customer workflow orientation: Proven ability to understand complex customer workflows and identify where technology can reduce friction, improve outcomes, or increase productivity.
* Platform thinking: Ability to balance customer-facing product needs with reusable platform capabilities, scalability, and long-term architectural fit.
* Enterprise SaaS execution: Experience delivering complex SaaS products from concept through launch, adoption, and iteration.
Qualifications
* 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.
* Data-Driven Mindset: Strong analytical skills to evaluate business processes and identify high-impact opportunities for automation and predictive intelligence.
* Expert Communication: Exceptional at writing functional specifications for AI systems and confidently engaging with executives and customers to present platform updates.
* Healthcare/WFM Context: Prior experience in Healthcare Workforce Management or Clinical Staffing is a major plus.
Ideal Candidate Profile
The ideal candidate is a seasoned product leader who thrives in ambiguity, brings structure to emerging technology opportunities, and knows how to focus teams on the highest-value problems. They are comfortable moving between customer workflow discussions, technical platform conversations, product requirement reviews, and executive-level prioritization decisions.
They are not responsible for building models themselves, but they are technically credible, product-minded, and able to translate AI potential into practical, trusted, enterprise-grade product experiences.
* 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 utility.
* Governance Adherence: 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.
Required Capabilities:
* AI Technical Fluency: Ability to engage deeply with technical AI teams on evaluations (e.g., precision/recall, confidence scores) while translating those technicalities into business value.
* Domain Expertise: Proven track record of shipping production-grade AI/ML products (e.g., skills, agents, recommendation engines, forecasting, or LLM-based functionality).
* Vertical Knowledge and Portability: 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
* Entrepreneurial Mindset with Strategic product leadership: Ability to bring structure to ambiguous AI opportunities and translate them into clear product strategy, priorities, and execution plans.
* Cross-functional influence: Ability to align stakeholders across product, engineering, design, data science, legal, security, and business teams without relying solely on formal authority.
* Customer workflow orientation: Proven ability to understand complex customer workflows and identify where technology can reduce friction, improve outcomes, or increase productivity.
* Platform thinking: Ability to balance customer-facing product needs with reusable platform capabilities, scalability, and long-term architectural fit.
* Enterprise SaaS execution: Experience delivering complex SaaS products from concept through launch, adoption, and iteration.
Qualifications
* 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.
* Data-Driven Mindset: Strong analytical skills to evaluate business processes and identify high-impact opportunities for automation and predictive intelligence.
* Expert Communication: Exceptional at writing functional specifications for AI systems and confidently engaging with executives and customers to present platform updates.
* Healthcare/WFM Context: Prior experience in Healthcare Workforce Management or Clinical Staffing is a major plus.
Ideal Candidate Profile
The ideal candidate is a seasoned product leader who thrives in ambiguity, brings structure to emerging technology opportunities, and knows how to focus teams on the highest-value problems. They are comfortable moving between customer workflow discussions, technical platform conversations, product requirement reviews, and executive-level prioritization decisions.
They are not responsible for building models themselves, but they are technically credible, product-minded, and able to translate AI potential into practical, trusted, enterprise-grade product experiences.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $163,900 to $235,550. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
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