Engineering manager Jobs in Richmond, BC

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.

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.

About You

Basic Qualifications:

• 5+ 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).

Other Qualifications:

• 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.

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 .

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $140,000 - $210,000 CADAdditional CAN Location(s) Base Pay Range: $140,000 - $210,000 CAD