About the Team

Workday Agent Factory builds on Workday's trusted systems of record, deep finance and HCM workflow context, and enterprise distribution to create autonomous AI agents that can move beyond demos into business-critical work. We operate like a 0-to-1 product team inside Workday: finding high-conviction bets, validating them with real customers, and scaling them into production-grade enterprise products.

Our PMs are builders. They work directly with engineering and go deep into customer workflows where data, knowledge, analytics, and AI intersect. We move quickly, but in domains where trust, auditability, compliance, security, and deeply embedded business processes matter.

About the Role

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.

About the Role

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.

Responsibilities

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

• 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.

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

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

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

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

About You

Basic Qualifications

• 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.

Preferred Qualifications

• 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'll Be a Great Fit If

• 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.

Workday Pay Transparency Statement

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 .

Primary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $196,000 USD - $294,000 USD

 

Additional US Location(s) Base Pay Range: $167,200 USD - $294,000 USD

Additional Considerations:

If performed in Colorado, the pay range for this job is $176,000 - $264,000 USD based on min and max pay range for that role if performed in CO.

10/17/2026

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.