Sr / Principal Product Manager - AI Agent Products

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.

You will own a product line, not a feature backlog. You will have direct customer access, the autonomy to shape product decisions, and the mandate to turn Workday's data and domain knowledge into new categories of enterprise AI products.

We are hiring Senior and Principal Product Managers to own AI agent products from the earliest bet through GA and scale. This is a hands-on product-building role: you will turn ambiguous customer problems into prototypes, evals, launch scopes, and shipped products with engineering, design, data science, field, and domain teams.

The best candidates will be hands-on with agent workflows, customer discovery, product instrumentation, evals, failure modes, and launch execution. You do not need years with the title "AI PM," but you do need to learn new technical domains quickly, build instead of wait, and turn ambiguity into shipped customer value.

In your first six months, you will shape a product thesis, validate it with design partners, and define the evidence and scope needed for GA.

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  Own an AI agent product end-to-end, from opportunity discovery and product thesis through GA launch, adoption, and iteration.

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  Identify and validate high-ROI opportunities in finance and HCM by working backward from real customer pain, business value, data availability, knowledge quality, and failure tolerance.

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  Partner deeply with engineering to shape reliable agent architectures, evaluation harnesses, observability, human-in-the-loop controls, and production readiness.

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  Define product-quality evals that measure whether an agent is useful, trustworthy, and ready for customer use, not just whether a demo looks impressive.

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  Build conviction through working demos, measurable results, customer discovery, design partner programs, and clear decision memos, not polished roadmap theater.

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  Rally domain PMs, design, engineering, field, legal, security, and executives around the decisions needed to ship.

• 8+ years of product management, founder, product lead, or equivalent product-building experience for Senior Product Manager; 11+ years for Principal Product Manager.

• 5+ years building B2B or enterprise software where AI/ML, data, analytics, or decision-support products are central to the customer value proposition.

• Track record of 0-to-1 product development: you have taken something from concept to first customers, revenue, or measurable business impact.

• Demonstrated technical fluency with AI/ML systems, data or analytics products, enterprise platforms, or workflow automation.

• Experience using customer evidence, product metrics, and structured judgment to make high-stakes product decisions with incomplete information.

• High agency with modern AI tools: you use tools such as Claude, Cursor, Codex, or equivalents to prototype, analyze, write, test, research, or automate parts of your own product workflow.

• Hands-on experience building, prototyping, or shipping AI agents, AI-native products, LLM features, workflow automation, decision-support systems, or data-intensive enterprise products.

• Strong intuition for agent evaluation, reliability, hallucination risk, human-in-the-loop design, permissions, auditability, and production failure modes.

• Experience in regulated or complex domains such as finance, HCM, healthcare, legal, planning, analytics, or enterprise operations.

• Experience managing design partner, beta, Early Adopter, or lighthouse customer programs.

• Strong product taste: you can simplify complex workflows into opinionated experiences that customers understand, trust, and adopt.

• You are already building with AI, whether at work, through side projects, prototypes, internal tools, or hands-on experimentation.

• You have strong opinions about where agents should act autonomously, where humans must stay in control, and how to prove the difference.

• You are candid about tradeoffs, including projects you killed, launches that missed, or bets that changed direction because the evidence demanded it.

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

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