Sr Product Manager - Enterprise Solutions

About the role

The AI Product Owner for Customer Zero plays a pivotal role in transforming Workday’s internal operations into a proving ground for innovation. This position requires a deep understanding of AI product lifecycle, cross-team collaboration, and the ability to simplify ambiguity and prioritize effectively.

Responsibilities

• Partner with internal business leaders to identify high-impact problems that can be solved using Workday’s product suite.
• Architect and deliver AI-powered solutions by working closely with engineering, UX, and business stakeholders.
• Provide continuous feedback to internal teams, translating internal "pains" into actionable product requirements and identifying gaps.
• Define and operationalize success metrics, guiding rapid iteration with data-driven insights.
• Manage stakeholder alignment, setting clear expectations and communicating roadmap progress.
• Champion Workday solutions, sharing internal success stories and best practices with external customers.

Requirements

• 10+ years of product management experience in enterprise domains (IT, HR, Finance preferred).
• 3+ years building AI/ML or GenAI-powered products.
• 3+ years of 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.

Qualifications

• Deep understanding of AI product lifecycle, including experimentation loops, evaluation, and iteration using qualitative and quantitative data.
• Mastery in leading cross-team collaboration, effectively working and influencing cross-functionally to define and deliver complex product strategies and initiatives.
• Expert ability to simplify ambiguity, break down complex problems, and prioritize effectively in alignment with business objectives.
• 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.

Skills

• Strong leadership and problem-solving skills.
• Ability to work collaboratively across departments.
• Experience with AI and machine learning technologies.
• Knowledge of enterprise software development and deployment.

Benefits

• Flexible work arrangements, spending at least half of time each quarter in the office or in the field with customers, prospects, and partners.
• Comprehensive benefits package, including health insurance, retirement plans, and paid time off.
• Opportunities for professional growth and development.

Pay

• Annualized base salary ranges for the primary location and additional locations are provided.
• The pay range for this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.

Schedule

• Flexible work arrangements, spending at least half of time each quarter in the office or in the field with customers, prospects, and partners.