Manager, Software Development Engineering - AI Platform

Workday • Vancouver, BC

30d • Hybrid

About The Position

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 Do you want to build impactful, AI features and solutions that will be used by millions of end-users? We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software! We build advanced AI solutions that power the core Workday software by modeling user behavior and providing intelligent automation. Come join us if you are interested in working on cutting edge technology, having fun and making an impact! About the Role We are looking for an Engineering Manager to lead a team building our Agent Platform—the core infrastructure that enables teams to develop, deploy, orchestrate, and operate AI agents in production. In this role, you will lead a team of engineers working on backend services, distributed systems, and developer tooling that power agent-based applications. You’ll be responsible for driving execution, shaping technical direction, and building a high-performing team that delivers scalable, reliable platform capabilities. You’ll partner closely with product, applied AI, and infrastructure teams to define how agent systems are built and operated across the organization. This role is ideal for a leader who enjoys growing teams, driving clarity in ambiguous spaces, and building foundational platforms for emerging technologies.

Requirements

• 7+ years of software engineering experience, with 2+ years in a people management role.
• 4+ years of building and operating production-grade backend or platform systems.
• 4+ years of technical background in distributed systems and scalable service architecture.
• 4+ years experience working with Python (or similar languages such as Java or Go).

Nice To Haves

• Experience leading teams working on platforms, infrastructure, or developer tooling.
• Experience delivering complex technical projects in ambiguous, fast-moving environments.
• Familiarity with AI/ML systems or LLM-powered applications in production.
• Familiarity with Kubernetes and cloud-native systems.
• Track record of building and growing high-performing engineering teams.
• Experience with workflow orchestration, distributed pipelines, or complex multi-step systems.
• Strong ability to partner across teams and influence technical direction.
• Understanding of observability, reliability engineering, and production operations.
• Experience defining technical strategy and long-term platform vision.
• Excellent communication, prioritization, and execution skills.
• Experience hiring and scaling teams in a high-growth environment.

Responsibilities

• Lead, mentor, and grow a team of engineers building the Agent Platform.
• Drive execution of the team’s roadmap, ensuring high-quality, timely delivery of platform capabilities.
• Partner with engineers to design and build systems for agent execution, orchestration, lifecycle management, and reliability.
• Collaborate with cross-functional partners (product, AI/ML, infrastructure) to define requirements and prioritize investments.
• Contribute to technical architecture and design decisions, balancing short-term delivery with long-term scalability.
• Establish best practices for code quality, testing, observability, and operational excellence.
• Build a strong engineering culture focused on ownership, collaboration, and continuous improvement.
• Help define and evolve the platform strategy for enabling agent-based applications across the organization.
• Manage team health, hiring, performance, and career development.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed