Sr / Principal Product Manager - AI Agent Products

HR Tech Job; Pleasanton (CA); Hybrid; USD 196,000 - 294,000; Full time

Job summary

Workday is seeking Senior and Principal Product Managers to own AI agent products from the earliest bet through GA and scale. This hands‑on role turns ambiguous customer problems into prototypes, evals, launch scopes, and shipped products with cross‑functional teams.

You’ll gain direct customer access, shape product decisions, and transform Workday data into new enterprise AI categories, with a strong emphasis on reliability and production readiness.

Qualifications

• 8+ years leading product management for senior roles in enterprise software.
• 5+ years building B2B or enterprise software with AI/ML, data, analytics, or decision‑support.
• Track record of taking concepts to first customers or measurable business impact.
• Demonstrated fluency with AI/ML systems and enterprise platforms.
• Experience using customer evidence and metrics to guide high‑stakes decisions.

Responsibilities

• Own an AI agent product end‑to‑end from discovery to GA launch and iteration.
• Identify and validate high‑ROI opportunities in finance and HCM domains.
• Collaborate with engineering to shape reliable agent architectures and observability.
• Define product quality evals to ensure usefulness, trust, and production readiness.
• Build conviction via demos, customer discovery, and clear decision memos.
• Coordinate with design, field, legal, security, and executives to ship decisions.

Skills

AI/ML fluency

Customer discovery

Data analytics

Product leadership

Strong judgment

Tools

Claude

Cursor

Codex

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

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.

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 click here.

Primary Location: USA.CA.Pleasanton

Primary 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.

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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision‑making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation