Lead Product Manager

Job description

Company and benefits

Job IDLEADP
018268

Employment Type

Regular Work  Style hybrid Location Lowell ,MA,United States Travel Up  to 25%
Role Lead 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.

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 Qualifications7+ 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…