Who you are

• 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
• 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)
• 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

What the job involves

• 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
• 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

Benefits

• 401k plan
• Company equity
• Vision and dental insurance
• Work from home opportunities
• Health insurance
• On-site health clinic (Pleasanton office)
• Virtual primary care
• Flexible time-off policy
• Global mental health resources
• Global dedicated on-site clinical counselors
• Global well-being days
• $25k fertility/family planning benefits
• North Star financial wellness
• Retirement funds and matching