Job Specifications
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
At Workday, it all started with a simple conversation between two friends. They envisioned a company built not just on great products, but on great people. That idea still drives us today -- creating technology that helps millions of people work smarter, make better decisions, and grow their businesses with confidence! Come join and see why days are Brighter at Workday!
About The Role
We're looking for a Product Manager to join Workday's Machine Learning Platform organization -- the team responsible for building the core foundation that powers intelligent experiences across the Workday suite.
In this role, you'll define and drive the strategy for our next-generation ML platform -- shaping the infrastructure, tools, and services that enable hundreds of ML practitioners and product teams to innovate responsibly and at scale. You'll partner with engineering, data science, and security to make Workday's ML platform more efficient, reliable, and developer-friendly, while ensuring our models meet the highest standards for quality, performance, and trust.
If you're passionate about bridging technical depth with product vision -- and enabling thousands of models to impact millions of users -- this role is for you.
What You'll Do
Define the roadmap for Workday's Machine Learning platform, focusing on scalability, observability, model lifecycle management, and developer experience.
Partner closely with engineering leaders and ML teams to design platform capabilities that accelerate the delivery of AI-powered features across Workday.
Translate complex infrastructure and data science needs into clear product requirements and measurable success outcomes.
Lead cross-functional initiatives spanning ML tooling, feature stores, model evaluation, governance, and production deployment.
Drive alignment across product, engineering, security, and compliance teams to ensure Workday's AI/ML solutions are ethical, explainable, and trustworthy.
Champion platform adoption across internal teams through clear communication, documentation, and education.
Use data to inform prioritization, continuously balancing speed, scale, and quality.
About You
Basic Qualifications
5+ years of product management experience, including 2+ years in platform, infrastructure, or ML/AI-related products.
Proven track record of shipping platform capabilities that support multiple internal or external product teams.
Familiarity with modern ML toolchains (e.g., feature stores, model registries, deployment frameworks, monitoring, and observability).
Other Qualifications
Solid understanding of the ML lifecycle -- from experimentation and model training to deployment, evaluation, and retraining.
Experience driving cross-functional alignment in large, distributed engineering organizations.
Excellent communication and partnership management skills; able to convey technical concepts to diverse audiences.
Strategic problem solver who can balance long-term platform vision with near-term delivery goals.
Prior experience with SaaS or enterprise-scale data platforms a plus.
Passion for building reliable, ethical, and human-centered AI systems.
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 bene