Sr Machine Learning Product Manager

Job description

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

About the Team

You will join a strong team of Machine Learning Product Managers at Workday. We like to work hard and play hard and focus a lot on building new AI and ML capabilities.

About the Role

Cross-functional Collaboration: Collaborate with engineering, design, and data science teams to drive the development of machine learning products from ideation to implementation.

Market Research: Conduct market research to identify trends, customer needs, and competitive landscapes to inform product decisions.

Requirements Gathering: Work closely with partners to gather and prioritize requirements, ensuring that machine learning solutions meet user needs.

Project Management: Lead the end-to-end project management of machine learning product development, including timelines, milestones, and resource allocation.

Performance Monitoring: Implement metrics and KPIs to track the performance of machine learning products, iterating based on feedback and data analysis.

About You

Basic Qualifications

  • Bachelor's / Master's degree in Computer Science or equivalent experience
  • Proven experience in product management, specifically in the field of machine learning or artificial intelligence.
  • Proven understanding of machine learning concepts and technologies.

Other Qualifications

  • Excellent communication and interpersonal skills, with the ability to effectively collaborate across teams.
  • Prior experience as an engineer

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 benefits, please click here.

Primary Location: USA.CO.Boulder

Primary Location Base Pay Range:  $144,000 USD - $216,000 USD

Additional CAN Location(s) Base Pay Range: $124,200 - $186,400 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!


Workday is a leading provider of enterprise cloud applications.