Senior​/Principal Product Manager - Workday AI

Position: Senior / Principal Product Manager - Workday AI

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

Workday Agent Factory builds autonomous AI agents that become standalone product lines, not incremental AI features bolted onto existing workflows. We operate as a 0-to-1 team inside Workday: identifying high-conviction bets in complex, regulated domains like finance and HCM, then building production-grade agents that will become revenue lines. Our PMs prototype with their own hands, ship fast, and navigate the real constraints of enterprise customers: compliance, auditability, and deeply embedded business processes.

If you want to build the next generation of enterprise software, not just add AI to the current one, this is the team.

About the Role

We are looking for Principal Product Managers who have shipped production AI agent systems and want to do it again at enterprise scale. You will own an agent from concept through GA: scoping the bet, prototyping solutions, running early adopter programs, and scaling to Workday's global customer base. This is not a strategy-deck role. You will be hands-on with agent architectures, evaluation frameworks, and customer workflows daily, while also making sharp prioritization calls across a fast-moving portfolio.

This role requires a rare combination: the scrappiness to prototype and build in weeks, the technical depth to design reliable agent systems, and the domain judgment to solve real problems in highly regulated, highly complex environments.

Responsibilities:

• Own an AI agent end-to-end, from identifying the opportunity through GA launch and beyond

• Prototype and validate agent concepts rapidly, using real customer workflows and data to pressure-test viability before committing engineering resources

• Design production-quality agent systems in collaboration with engineering, ensuring reliability, auditability, and trust in regulated domains

• Run customer discovery and Early Adopter programs to validate value, generate references, and derisk at every stage

• Identify the highest-ROI agent opportunities in finance and HCM, build conviction with data, and advocate for them within the organization

• Define measurable value outcomes and evaluation frameworks that prove agent impact quantitatively

• Collaborate deeply with domain PMs to understand workflows, constraints, and where autonomous agents unlock step-function value versus incremental improvement

• Communicate agent vision and progress to executives, customers, field teams, and implementers, translating technical capability into business value

About You

Basic Qualifications:

• 11+ years of product management experience

• 5+ years in SaaS/B2B enterprise software

• Direct experience building and shipping AI agent systems to production (not just AI/ML features, but agents that reason, plan, and take action autonomously)

• Deep technical acumen: you can evaluate agent architectures, debug failure modes, and make informed design tradeoffs with engineering

• Strong communication and relationship-building skills across engineering, customers, and executive stakeholders

Other

Qualificatio…