Software Engineering Manager (Agentic Engineering)

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. 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.

Responsibilities

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

Requirements

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

Nice to have

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