Lead and grow a software engineering team focused on enhancing agentic development systems in a collaborative environment.
Posted by employer 1 day ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
Role intensity
10% coding — mostly leadership/strategy
AI in the day-to-day
As an AI company, Coder embraces the use of AI tools in the recruitment process but does not allow AI assistance during conversational interviews.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Software Engineering Manager at Coder, the individual will oversee a team focused on enhancing the systems that support agentic development experiences. Key skills include hands-on expertise in Go, React, and TypeScript, along with a solid understanding of distributed systems and AWS. This position is ideal for someone with experience managing engineering teams and a background in building systems around large language models and agentic workflows. Coder's team is dedicated to evolving its provider-agnostic architecture to improve reliability and performance.
Joblaze insights
Quick facts
From the original posting
As an Engineering Manager on Coder’s Agentic Engineering 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, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows.
This position is required to be in the US Eastern Time Zone.
Lead and grow a team within our Agentic Engineering organization.
Set technical direction across the agent harness, integrations, and workflows.
Stay close to the code and contribute to architecture and implementation decisions.
Evolve agent execution, tool use, context management, streaming, and long-running workflows.
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.
Experience managing and growing software engineering teams.
Strong hands-on engineering experience with Go.
Experience with React and TypeScript.
Hands-on experience building systems around LLMs and agentic workflows.
Experience with model APIs, tool calling, context management, or agent loops.
Strong distributed systems knowledge.
Working knowledge of AWS.
Strong technical judgment and comfort working through ambiguity.
A track record of helping engineers grow while maintaining a high execution bar.
Backend: Go, Postgres
Frontend: TypeScript, React
Infrastructure: AWS, Kubernetes
Observability: Prometheus, Grafana
CI/CD: GitHub Actions
(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
Experience building coding agents, developer tools, or cloud development environments.
Experience with MCP, agent tools, or multi-agent systems.
Experience with remote execution, sandboxing, or isolated compute.
Experience building abstractions across multiple model providers.
Deep experience with AWS, Kubernetes, Docker, or Linux.
Open-source contributions or experience working directly with customers.
Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves.
Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
Standard company text repeated across Coder's postings is omitted here.