Sr Product Manager Payroll AI

Workday
Ireland, DublinPosted 9 March 2026

Tech Stack

Job Description

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team The Payroll AI Team is redefining the future of Payroll and leading the way with one of the first Workday-built AI Agents. We work cross-functionally with AI and application teams including product leaders, machine learning engineers, and full-stack builders to build intelligent agent skills used by millions of people every day. This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across teams, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how the Payroll Agent reason, act, and scale responsibly. High trust, high expectations, and real impact. About the Role As a Senior Product Manager in Payroll AI, you’ll be part of the team that leads strategy and delivery of AI-powered features and skills for Payroll Agent that are developed to be understood, trusted, and adopted by customers at global scale. You’ll own projects across the Payroll Agent lifecycle—from defining the customer problem and value proposition, to shaping the platforms and frameworks that enable Workday teams to bring agent skills to market quickly and consistently. Working closely with machine learning, engineering, numerous frameworks teams, and payroll domain product leaders, you’ll turn emerging AI capabilities into clear product narratives, scalable solutions, and measurable customer impact. This role calls for strong product judgment, a bias for execution, and deep curiosity about how AI can be translated into differentiated experiences that drive real business outcomes with continued interest in Payroll and Workday’s products. You’ll help define how Workday positions, builds, and delivers next-generation Payroll with AI and agents—ensuring innovation lands with clarity, credibility, and purpose. Lead functional and technical discussions with key internal and external partners / customers. About You Basic Qualifications 5 years of product management experience Experience and interest in payroll Experience with Workday products Experience with AI and/or Agents 5 years proven experience with SaaS/B2B Technically proficient with AI and LLM-powered technology Other Qualifications: Deeply empathetic customer advocate with a history of redefining the payroll experience using AI-powered solutions. Experience leading stakeholders and working collaboratively and cross functionally with a product portfolio Experience collaborating with teammates across timezones Experience bringing new payroll product offerings to market Steadfast focus on user-centric design, data, research, and well-honed judgment A strong bias for action and the ability to m ... (truncated, view full listing at source)
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