Sr ML Product Manager

Posted 2 Days Ago
Be an Early Applicant
Vancouver, BC
124K-246K Annually
Senior level
Cloud • Fintech • HR Tech
The Role
As a Senior ML Product Manager, you will lead the development and delivery of scalable machine learning solutions. This role involves articulating product strategy and ensuring high-quality deliverables throughout the product lifecycle, while collaborating with various internal teams.
Summary Generated by Built In

Your work days are brighter here.

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

Are you motivated by witnessing machine learning/AI products come to life in production settings which impact tens of millions of people? As part of a global, high-growth technology company, our work supports thousands of the largest global companies and more than 30 million end users. Workday’s Machine Learning organization is bringing “AI first” products to life at every step of the Workday product offering.
We are responsible for delivering the foundations on which Workday's product teams build intelligent and impactful experiences for our customers. Our work is a blend of product innovation, groundbreaking machine learning methodology and large-scale data processing. Built on a backbone of startup DNA, we operate with a high degree of autonomy and strong sense of ownership, and as a part of this team you'll conceive and build machine learning systems that shape the future of the work.

About the Role

As a Senior ML Product Manager, you will lead the delivery of innovative and scalable machine learning solutions covering the entire product development lifecycle​, ensuring on-time, high-quality deliverables. You will develop and articulate machine learning platform product strategy, vision, and roadmap balancing platform innovation, alignment with our partners needs and overall company goals.

We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of users. If this sounds like a team you'd like to contribute to we would love to hear from you.

About You

Basic Qualifications

  • Bachelor's degree in computer science, data science, engineering, or an equivalent.
  • 4 or more years of product management experience including 2+ years of experience in a technical product management role
  • 1 or more years of product management experience focused on ML platform or feature development

Other Qualifications

  • Past experience in a technical role (Software engineering or Data Science) is strongly preferred
  • Experience in Enterprise product management, specifically in productizing ML applications at scale
  • Experience working with other internal teams in cross-collaborative efforts - comfortable handling ambitious dependencies and priorities.
  • Ability to handle interpersonal relationships judiciously and professionally
  • Excellent communication and teamwork skills and ability to thrive in a fast-paced, dynamic environment, including comfort in communicating with senior leadership
  • Ability to learn quickly in a fast-paced team including highly technical areas

Posting End Date: 11/18/24

The application deadline for this role is the same as the posting end date stated.

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: CAN.BC.VancouverPrimary CAN Base Pay Range: $124,200 - $186,400 CADAdditional US Location(s) Base Pay Range: $136,800 USD - $246,000 USD


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!

Top Skills

AI
Data Science
Machine Learning
The Company
HQ: Pleasanton, CA
14,894 Employees
On-site Workplace
Year Founded: 2005

What We Do

Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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