product
Posted 3 weeks agoSr Product Manager - Enterprise Solutions
at Workday
Usa Pleasanton, United StatesRemote
Responsibilities
- 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.
- Define and Operationalize Success Metrics : Define and 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 timely communicate roadmap progress, execution trade-offs, and the measurable impact of AI initiatives.
- Champion Workday Solutions: Use our internal success stories (and failures) to create blueprints, best practices, and case studies that help our external customers maximize their own Workday investment. About You Basic
Requirements
- 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.
- About the Team As part of the Enterprise AI organization within Business Technology, we are the architects of Workday’s "Customer Zero" strategy.
- Our mission is to transform our own global operations into a powerhouse of innovation by deploying a cutting-edge, AI-driven ecosystem of tools and services.
- About the Role As the AI Product Owner for Customer Zero, you will occupy one of the most unique and influential seats at Workday.
- You will hunt for friction points within our internal business processes, architect end-to-end AI-powered solutions using our own technology stack, and ensure that by the time a product reaches our external customers, it has been forged in the fire of real-world enterprise complexity.
- 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
- 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.