Senior Manager, Machine Learning Engineering and Operations

Your work days are brighter here.

At Workday, it all started with a breakfast conversation. Our founders met at a sunny California diner where they devised a plan to revolutionize the enterprise software market. One thing that set us apart as we started to grow was our culture, driven by our commitment to put our people first. Since then, the happiness, development, and contribution of every Workmate has been central to our identity. Our Workmates believe that a wholesome employee-centric and collaborative culture is the key to success in business. That’s why we empower our people, support our communities and the planet while keeping profitability in view. We encourage you to shine in your own unique way. You don't need to hide who you are. You can sense the energy and passion that sets us apart. Inspired to make a brighter work day for everyone and grow with us to the next stage of our journey? Come join us and brighten your work day here.

About the Team

We work hard, play hard, and always have each other's backs. We embody Workday's culture of integrity, innovation, and fun. We are the AI/ML services team at Workday! We're seeking individuals who are passionate about creating and operationalizing machine learning assets, and who take pride in running one of the best machine learning operations in the industry! We are looking for a visionary leader to lead our Machine Learning (ML) Engineering and Operations Team. This role is critical for driving the technical strategy and execution of our AI initiatives to accelerate Workday’s mission.

About the Role

Responsibilities include:

• Strategic Vision: Develop and execute a clear technical roadmap for the ML platform, aligning with Workday's mission and business objectives. Constantly innovate, and drive the adoption of AI technologies to enhance ML product experiences for our internal end users
• Collaborate with data science product owners on the full development and deployment cycle of machine learning models. Implement and manage model versioning, tracking, and monitoring systems
• Closely collaborate with cross-functional teams to ensure smooth integration of AI capabilities into business applications like SFDC, Gainsight, Market, and Enterprise Data Hub
• Foster a culture of collaboration, innovation, and continuous learning in the ML Engineering and Operations Team
• Set and uphold high standards of technical excellence, ensuring the team adheres to best practices in software development, machine learning, and platform architecture
• Create broad understanding of emerging scientific trends and techniques in MLOps, privacy, interpretability, risk management, bias and fairness
• Act as technical/scientific advisor for improving our Enterprise DS practice, driving more value from data
• Drive assessment of risk and opportunities for Generative AI applications, and create programs to ensure we experiment with integrity and speed
• Help define and measure technical capabilities such as Machine Learning Operations (MLOps), High Performance Engineering, etc., and create programs and practices to encourage adoption of best practices
• Create a culture of trust, integrity, and collaboration as default mode of operations
• Remember: 'Fun' is a core value in this team and at Workday!

About You

We would love to hear from you if you have:

• Significant experience in building and leading high-performing engineering teams, with a focus on AI/ML platform development and applied research. Solid understanding of Large Language Models (LLMs) and data science statistical concepts
• Deep understanding of machine learning frameworks, data pipelines, and platform architecture. Familiarity with natural language processing and generation is a plus
• Excellent collaboration and communication skills
• Ability to thrive in a fast-paced, dynamic startup environment
• Specialist at recruiting, mentoring, and retaining high-performing teams

• Minimum of 5+ years of background in leading ML engineering teams, with expertise in AI, generative AI, machine learning, and enterprise / PaaS environments
• Expertise in software engineering best practices

Workday Pay Transparency Statement

Workday's annualized base salary ranges for the primary and additional locations are listed below. This role may be eligible for the Workday Bonus Plan or a role-specific bonus, as well as annual refresh stock grants. Recruiters can provide more detail during the hiring process. Each candidate’s compensation offer will be decided based on multiple factors including, but not limited to, geography, experience, skills, and job duties among other things. Please read more about Workday's comprehensive benefits by .

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $224,200 USD - $336,300 USD

Additional US Location(s) Base Pay Range: $179,000 USD - $336,300 USD

Our Approach to Flexible Work

With our Flex Work approach, we allow our teams to balance in-person and remote time. This approach enables deeper connections, a robust community, and excellent work. Flexibility varies by roles, so instead of a set number of office days each week, we spend at least 50% of our time each quarter in the office or in the field with our customers, prospects, and partners. This way, our employees experience the freedom to create flexible schedules that cater to their business, team, and personal needs while ensuring time spent together is maximized.

In line with the applicable Fair Chance law, Workday will consider for employment applicants qualified with arrest and conviction records.

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

If you are being referred for a role at Workday, ask your connection about our Employee Referral process!