Sr Product Manager, AI Services- Agent Platform

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.

The AI Services team is part of Workday’s AI Platform organization, and we are building the operating tooling that powers Workday’s AI and agentic strategy. Think of us not as a collection of isolated services, but as a key supplier in the AI supply chain: we make sure Workday’s AI Agents have access to the right data through Information Retrieval and RAG, can perform intelligent actions on Workday data through Recommendations, can operate within an acceptable cost envelope through Modernization, and can be discovered by the teams that need them through our AI Portfolio Registry.

We are at an exciting inflection point. The team is shifting from building standalone ML features into providing reusable, platform‑grade AI capabilities that teams across Workday can plug into and build on: whether they are building AI agents, traditional UI/UX application experiences, or extending Workday’s platform for external developers through Workday Extend. The work is genuinely novel: AI‑native rapid prototyping, agent architecture, financial intelligence, precision‑at‑one recommendation systems, and unbundling retrieval primitives for developer consumption.

What makes this team special is a culture of intellectual honesty, real debate, and creative risk‑taking. We hold each other to high standards (business cases need evidence, not just enthusiasm) and that rigor builds credibility with engineering and leadership alike. Leadership here is genuinely servant‑leader in practice: growing people and growing the product are treated as the same thing, not tradeoffs.

If you are energized by ambiguity, drawn to pioneering work, and want to be part of a small, high‑concision team doing things that haven’t been done before, this is the place for you.

As a Senior Product Manager on the AI Services team, you will be a force multiplier at the intersection of AI product development, growth and adoption, and AI‑augmented productivity.

• Deep fluency with AI/ML products and services.
• The ability to operationalize growth practices for an internal platform.
• The habit of using AI tools to dramatically increase your own output and the output of those around you: from rapid prototyping with AI coding agents to accelerating research, analysis, artifact creation, and day‑to‑day decision‑making.

You will operate with a high degree of autonomy and ownership over your product area. You are empowered to make decisions, move fast, and drive outcomes, and you are expected to keep stakeholders and leadership informed, surface tradeoffs early, and treat transparency as a strength, not a constraint. The best PMs on this team operate independently without ever operating in isolation.

• Owning the end‑to‑end product lifecycle for AI/ML services, including discovery, prioritization, roadmap definition, evaluations, and navigating the unique complexities of non‑determinism, cost/latency tradeoffs, and API and service‑layer design.
• Shaping and socializing AI…