The ad says“Experience building abstractions across multiple model providers”
The ad says“Experience with model APIs, tool calling, context management, or agent loops”
The ad says“Experience with MCP, agent tools, or multi-agent systems”
The ad says“Hands-on experience building systems around LLMs and agentic workflows”
The ad says“Working knowledge of AWS”
The ad says“Experience building coding agents, developer tools, or cloud development environments”
The ad says“Experience building coding agents, developer tools, or cloud development environments”
The ad says“Experience with model APIs, tool calling, context management, or agent loops”
The ad says“Experience building coding agents, developer tools, or cloud development environments”
The ad says“Strong distributed systems knowledge”
The ad says“Deep experience with AWS, Kubernetes, Docker, or Linux”
The ad says“Experience with Go”
The ad says“Experience with remote execution, sandboxing, or isolated compute”
The ad says“Deep experience with AWS, Kubernetes, Docker, or Linux”
The ad says“Deep experience with AWS, Kubernetes, Docker, or Linux”
The ad says“Hands-on experience building systems around LLMs and agentic workflows”
The ad says“Experience with MCP, agent tools, or multi-agent systems”
The ad says“Experience with model APIs, tool calling, context management, or agent loops”
The ad says“Experience with MCP, agent tools, or multi-agent systems”
The ad says“Strong hands-on engineering experience with React and TypeScript”
The ad says“Experience with remote execution, sandboxing, or isolated compute”
The ad says“Experience with remote execution, sandboxing, or isolated compute”
The ad says“Experience managing and growing software engineering teams”
The ad says“Experience with model APIs, tool calling, context management, or agent loops”
The ad says“Strong hands-on engineering experience with React and TypeScript”
As an Engineering Manager on Coder’s Core Workspaces team, you’ll lead engineers building and evolving the systems behind our agentic development experience
You’ll help make agents more capable, reliable, and useful across real development environments
You’ll guide technical direction while growing the team and keeping execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows
Lead and grow a team within our Workspaces organization
Set technical direction across the agent harness, integrations, and workflows
Stay close to the code and contribute to architecture and implementation decisions
Extend our provider-agnostic architecture as models and capabilities change
Partner with Product and Design to turn agent capabilities into useful developer experiences
Improve reliability, performance, and operability across agentic systems
Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs
Our tech stack:
Backend: Go, Postgres
Frontend: TypeScript, React
Infrastructure: AWS, Kubernetes
Observability: Prometheus, Grafana
CI/CD: GitHub Actions
Benefits
4% 401(k) match
Generous medical / dental / vision coverage
Paid sabbatical after 5 years
Fertility benefits through Carrot Fertility and generous parental leave
Monthly “perks” stipend for wellness, learning and development, travel, etc
Flexible time off
Annual workstation allowance for your home office
Remote work from anywhere, or join our Austin or San Francisco offices
Preferred experience
Experience managing and growing software engineering teams
Experience with model APIs, tool calling, context management, or agent loops
Strong technical judgment and comfort working through ambiguity
A track record of helping engineers grow while maintaining a high execution bar
Experience with Go
Strong hands-on engineering experience with React and TypeScript
Working knowledge of AWS
Strong distributed systems knowledge
Hands-on experience building systems around LLMs and agentic workflows
Deep experience with AWS, Kubernetes, Docker, or Linux
Experience building abstractions across multiple model providers
Experience with MCP, agent tools, or multi-agent systems
Experience with remote execution, sandboxing, or isolated compute
Experience building coding agents, developer tools, or cloud development environments
Open-source contributions or experience working directly with customers
Recruitment process
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow
Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders
