Software Engineering Manager (Core Workspaces)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineering Manager (Core Workspaces) based in Canada. As an Engineering Manager, you’ll lead a team building the systems that power modern, agentic software development environments.

You’ll shape technical direction across agent execution, integrations, developer workflows, and the underlying workspace experience.

The role combines hands-on technical leadership with team development, strategic planning, and cross-functional collaboration.

You’ll help make AI agents more capable, reliable, observable, and useful across real-world development environments.

Working closely with Engineering, Product, and Design, you’ll turn rapidly evolving AI capabilities into practical developer experiences.

You’ll operate in a technically ambitious environment spanning distributed systems, LLMs, cloud infrastructure, and developer tooling.

This is an opportunity to influence foundational technology while growing engineers and raising the execution and technical standards of the team.

Accountabilities

• Lead, develop, and grow a software engineering team within the Core Workspaces organization, creating clarity around priorities, expectations, and technical direction.
• Set and communicate technical direction across agent harnesses, integrations, developer workflows, and workspace capabilities.
• Remain technically engaged and contribute to architecture, implementation, and important engineering decisions.
• Evolve systems for agent execution, tool use, context management, streaming, and long-running workflows.
• Extend provider-agnostic architecture so the platform can adapt as AI models, capabilities, and technologies evolve.
• Partner closely with Product and Design to translate emerging agent capabilities into intuitive, valuable developer experiences.
• Improve reliability, performance, scalability, observability, and operational excellence across agentic systems.
• Coach engineers, support career development, provide technical mentorship, and raise the overall engineering bar.
• Navigate ambiguity and complex technical tradeoffs while maintaining strong execution across multiple priorities.
• Collaborate across engineering teams and functions to build scalable solutions and maintain alignment around architectural goals.

Requirements

• Demonstrated experience managing and growing software engineering teams while maintaining a high standard for technical execution.
• Strong hands-on software engineering background with React and TypeScript, combined with experience developing backend systems in Go.
• Practical experience building systems involving LLMs and agentic workflows, including model APIs, tool calling, context management, agent loops, or related technologies.
• Strong understanding of distributed systems and the architectural principles required to build reliable, scalable software.
• Working knowledge of AWS and modern cloud-based development environments.
• Strong technical judgment, problem-solving ability, and comfort making decisions in ambiguous and rapidly evolving environments.
• Proven ability to mentor engineers, develop technical talent, and create a culture of ownership and accountability.
• Experience with coding agents, developer tools, or cloud development environments is highly desirable.
• Familiarity with MCP, agent tools, multi-agent systems, remote execution, sandboxing, or isolated compute is a plus.
• Experience creating abstractions across multiple AI model providers is advantageous.
• Deeper experience with AWS, Kubernetes, Docker, or Linux is beneficial.
• Open-source contributions or direct customer-facing engineering experience would be an advantage.
• Ability to collaborate effectively with Product, Design, Engineering, and other stakeholders while communicating complex technical concepts clearly.

Benefits

• Competitive Canada-based compensation of CA$132,000–CA$179,000, depending on level, role, and location.
• Equity opportunities.
• Bonus opportunities.
• Fully remote work environment.
• Opportunity to work on advanced AI development infrastructure and agentic software systems.
• Collaborative environment with individual contributors, engineering managers, and senior technical leaders.
• Strong opportunities for technical leadership, mentorship, and professional growth.
• Work across a modern technology stack including Go, PostgreSQL, TypeScript, React, AWS, Kubernetes, Prometheus, Grafana, and GitHub Actions.
• Inclusive workplace committed to equal employment opportunities and a diverse workforce.
• Interview process designed to be transparent, consistent, and efficient, with an expected timeline of approximately two to four weeks where scheduling allows.

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.