Job description

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 In this role, you will drive strategy, execution, and hands-on innovation within our Workforce Management Scheduling portfolio, with a particular focus on advancing Healthcare scheduling capabilities through AI. This is not a role for someone who coordinates from a distance. It's a role for someone who operates at the intersection of product, engineering, and design. Moving from customer insight to working AI prototype to shipped feature without losing momentum at every handoff. AI is not a stretch goal in this role. It is the product strategy. We are building scheduling intelligence that didn't exist before. We need a PM who approaches that challenge with a builder's mindset: part strategist, part architect, part maker. As a product leader, you will operate with a high degree of autonomy, owning complex product areas end-to-end while influencing cross-functional teams across Engineering, Data, Design, and Go-To-Market. You will lead multiple high-impact initiatives simultaneously, translating ambiguous problem spaces into clear product direction and measurable outcomes; including AI-specific outcomes like model output quality, user trust, and real-world scheduling accuracy. Responsibilities *Partner with product leadership to develop and execute a product strategy where AI is the core value driver, not a feature layer on top of an existing product *Build rapid AI prototypes using tools like Cursor, Claude, Replit, or v0 to validate product direction and compress the time from insight to validated concept *Define what "good" looks like for AI-powered scheduling outputs: model behavior, success criteria, edge cases, and the trust signals that matter to end users *Partner with engineering on prompt design, model tradeoffs, and evaluation pipelines. Contributing technical judgment alongside product direction *Work closely with engineering to deliver high-quality AI-powered solutions that exceed customer expectations in healthcare scheduling *Build and maintain strong relationships with customers and partners to understand scheduling pain points and translate them into AI product opportunities *Partner with cross-functional teams to bring new AI-powered capabilities to market and enable Go-To-Market teams to tell a compelling story about what we've built *Define and track AI-specific KPIs, not just adoption metrics, but output quality, scheduling accuracy, time-to-value, and user trust over time *Conduct competitive intelligence with an AI lens: what are AI-native scheduling competitors building, where are they winning, and where can UKG's data advantage be decisive? *Foster a product culture where hypotheses are tested with working prototypes before engineering investment, not after Basic Qualifications *7+ years delivering or managing SaaS applications within an Agile environment, including demonstrated experience building or shipping AI-powered products *Hands-on experience with AI in your product workflow: prototyping, defining model behavior, and measuring AI output quality, not just managing teams that do it *Experience working with tools like Cursor, Replit, v0, Claude, or equivalent to prototype product ideas before handoff to engineering *Technical fluency with AI systems: you understand prompt engineering, model tradeoffs, and evaluation basics at a reasoning level. You don't need to code it, but you need to think clearly about it *Proven ability to evaluate where AI creates genuine product value versus where it's hype, and to make product bets based on that judgment *Exceptional communicator and storyteller: can explain a model limitation to an engineer, frame an AI scheduling capability as a patient-care outcome to a hospital VP, and present a roadmap to a product VP. Adjusting depth and framing for each audience *Proven ability to lead through influence and operate across teams without formal authority Preferred Qualifications *Deep experience in Workforce Management, Healthcare, or scheduling: either as a domain expert, product professional, or end user who has experienced the problems firsthand *Healthcare scheduling expertise with knowledge of acuity matching, certification requirements, compliance constraints, and union rules *Familiarity with agentic AI architectures, LLM APIs, or AI/ML product design patterns *Experience defining evaluation frameworks or success criteria for probabilistic AI systems 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. View The EEO Know Your Rights poster 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 $129,500 to $186,100. 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 ukg.com

Requirements

Must-haves

Partner with product leadership to develop and execute a product strategy where AI is the core value driver, not a feature layer on top of an existing product
Build rapid AI prototypes using tools like Cursor, Claude, Replit, or v0 to validate product direction and compress the time from insight to validated concept
Define what "good" looks like for AI-powered scheduling outputs: model behavior, success criteria, edge cases, and the trust signals that matter to end users
Partner with engineering on prompt design, model tradeoffs, and evaluation pipelines. Contributing technical judgment alongside product direction
Work closely with engineering to deliver high-quality AI-powered solutions that exceed customer expectations in healthcare scheduling
Build and maintain strong relationships with customers and partners to understand scheduling pain points and translate them into AI product opportunities
Partner with cross-functional teams to bring new AI-powered capabilities to market and enable Go-To-Market teams to tell a compelling story about what we've built
Define and track AI-specific KPIs, not just adoption metrics, but output quality, scheduling accuracy, time-to-value, and user trust over time
Conduct competitive intelligence with an AI lens: what are AI-native scheduling competitors building, where are they winning, and where can UKG's data advantage be decisive?
Foster a product culture where hypotheses are tested with working prototypes before engineering investment, not after
7+ years delivering or managing SaaS applications within an Agile environment, including demonstrated experience building or shipping AI-powered products
Hands-on experience with AI in your product workflow: prototyping, defining model behavior, and measuring AI output quality, not just managing teams that do it
Experience working with tools like Cursor, Replit, v0, Claude, or equivalent to prototype product ideas before handoff to engineering
Technical fluency with AI systems: you understand prompt engineering, model tradeoffs, and evaluation basics at a reasoning level. You don't need to code it, but you need to think clearly about it
Proven ability to evaluate where AI creates genuine product value versus where it's hype, and to make product bets based on that judgment
Proven ability to lead through influence and operate across teams without formal authority

Nice-to-haves

Deep experience in Workforce Management, Healthcare, or scheduling: either as a domain expert, product professional, or end user who has experienced the problems firsthand
Healthcare scheduling expertise with knowledge of acuity matching, certification requirements, compliance constraints, and union rules
Familiarity with agentic AI architectures, LLM APIs, or AI/ML product design patterns
Experience defining evaluation frameworks or success criteria for probabilistic AI systems

Application prep

Use the role’s language and application details while tailoring your materials.

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