Sr Product Manager - Enterprise Solutions

About the Team

As part of the Enterprise AI organization within Business Technology, we are the architects of Workday’s "Customer Zero" strategy. We transform our own global operations into a powerhouse of innovation by deploying a cutting‑edge, AI‑driven ecosystem of tools and services. Our team is composed of builders and skeptics who question the status quo to deliver scalable, intuitive technology that defines the future of work.

The AI Product Owner for Customer Zero occupies a unique and influential seat  will treat Workday the entire company as the most demanding, sophisticated, and strategic customer, hunting friction points in our internal business processes and architect end‑to‑end AI‑powered solutions. By the time a product reaches external customers, it will have been qualified in the fire of real‑world enterprise complexity.

• Drive internal discovery & strategy: partner with internal business leaders (HR, Finance, IT, Operations) to identify high‑impact problems that can be solved using Workday’s product suite.
• Architect and deliver AI‑powered solutions: work closely with engineering, UX, and business stakeholders to turn emerging AI capabilities and ambiguous business problems into holistic end‑to‑end AI/ML‑driven product solutions.
• Provide continuous feedback: serve as the primary bridge to the core Product & Technology teams, translating internal pain points into actionable product requirements.
• Define and operationalize success metrics: implement measurable KPIs—including quality, adoption, trust, and business value—using data‑driven insights to guide rapid iteration.
• Manage stakeholder alignment: set clear expectations with business stakeholders and communicate roadmap progress, execution trade‑offs, and measurable impact of AI initiatives.
• Champion Workday solutions: use internal success stories to create blueprints, best practices, and case studies that help external customers maximize their Workday investment.

• 10+ years of product management experience in enterprise domains (IT, HR, Finance preferred).
• 3+ years building AI/ML or GenAI‑powered products (e.g., agents, copilots, or automation).
• 3+ years experience with AI product infrastructure.
• Technical proficiency with AI and LLM‑powered technology.
• Proven track record of end‑to‑end product delivery from concept to scale with measurable business impact.
• Demonstrated experience translating complex workflows into scalable product solutions.

• Deep understanding of AI product lifecycle, including experimentation loops, evaluation, and iteration using qualitative and quantitative data.
• Mastery in leading cross‑team collaboration, influencing cross‑functionally to deliver complex product strategies and initiatives.
• Expert ability to simplify ambiguity, break down complex problems, and prioritize effectively in alignment with business objectives.
• Ability to define long‑term product vision and translate insights, feedback, and data into clear product direction.
• Experience defining and operationalizing success metrics, and using them to guide decisions.
• Excellent executive communication skills, with the ability to articulate strategy and recommendations clearly.
• Comfort operating in fast‑paced environments, with resilience and bias toward action.
• Master’s degree in Computer Science or related technical field, or equivalent combination of education and experience.

Open to 50% reporting to Pleasanton or Denver offices.

• Primary location (Pleasanton, CA): $168,000 – $252,000 USD.
• Additional US locations: $140,600 – $252,000 USD.
• Colorado: $148,000 – $222,000 USD.

Workday is an Equal Opportunity Employer, including individuals with disabilities and protected veterans. We are committed to providing an accessible and inclusive hiring experience. All candidates can fully demonstrate their skills. Workday will consider qualified applicants with arrest and conviction records. We will not accept resumes from headhunters or placement agencies that have not signed a formal agreement.