Engineering Manager (Agentic Engineering)

Coder is a leading platform for AI development infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. It provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance, supporting the evolution from human-only development to AI-assisted and autonomous workflows without sacrificing security, compliance, or performance.

• 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.
• 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.

• Lead and grow a team within the 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 the provider-agnostic architecture as models and capabilities change.
• Partner with Product and Design to develop useful developer experiences.
• Improve reliability, performance, and operability across agentic systems.
• Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs.

• Remote work mode; the position is remote.
• Equal employment opportunity employer statement provided.
• Transparent AI use policy during interview process: AI assistance not permitted during conversational interviews but allowed for take-home assessments with disclosure.
• Use of AI tools in recruitment for prioritization and note-taking; all hiring decisions made by humans in compliance with applicable laws.