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Workday

Principal Product Manager - Workday AI - Agent Factory

Workday is hiring a Principal Product Manager - Workday AI - Agent Factory in Dublin, Ireland. It pays €163k-€244k a year and Level rates it ; you can apply on Workday.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI agents.
  • Level classifies it as a lead role.
  • Level lists 369 other open roles at Workday.
  • The role was posted within the past week.

AI in this role

ai-agents

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 external, revenue generating AI forward product and /or 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 Qualifications:

  • Experience in regulated or complex domains (finance, HCM, healthcare, legal) where trust, compliance, and auditability are non-negotiable

  • Track record of 0-to-1 product development: you've taken something from idea to revenue, not just maintained an existing product

  • Bias for action, comfortable making high-stakes decisions with incomplete information and iterating from there

  • Experience managing Early Adopter or beta programs with enterprise customers

  • Ability to operate across multiple functions, influence senior executives, and drive alignment without authority

You'll be a great fit if:

  • You are already building agent systems, whether prototyping on weekends, shipping side projects, or pushing the boundaries at your current company

  • You have strong opinions on agent evaluation, reliability, and human-in-the-loop design, formed from hands-on experience, not just reading papers

  • You learn complex customer domains fast and can identify where agents create step-function value versus where they create risk

  • You are motivated by building new product lines from scratch, not optimizing existing ones

  • You are organized enough to track dozens of moving pieces across customers, engineering, and stakeholders while maintaining velocity


Workday Pay Transparency Statement (For EU Locations Only)


Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. 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 awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location Base Pay Range: $162,800 EUR - $244,200 EUR Ireland

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 in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.


If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.



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Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

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How we rate this

Principal Product Manager - Workday AI - Agent Factory at Workday rates 71 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$178k

Use the typical AI product manager figure as a reference when pay comes up. See AI product manager jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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