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LeadRemoteUS

Software Engineering Manager

J
jobgether
Зарплата
$11,000–$14,900
Уровень
Lead
Формат
Remote
О роли

Описание вакансии

About the company

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 United States.

As an Engineering Manager, you’ll lead a team building the systems that power modern, agentic software development environments.

Responsibilities
  • 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.
Conditions
  • 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.
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