Engineering Manager - Agentic Engineering

Overview

Join Coder as an Engineering Manager leading the Agentic Engineering team responsible for developing and enhancing the backend systems that drive advanced agentic development workflows. This role focuses on increasing the reliability, capability, and utility of agents within real-world development environments.

Key Responsibilities

• Lead and expand the engineering team within the Agentic Engineering organization.
• Define and steer the technical vision across agent harness, integrations, and developer workflow systems.
• Participate actively in coding, architectural design, and implementation decisions.
• Advance agent execution including tool usage, context management, streaming data, and sustained operations.
• Broaden the provider-agnostic architecture to adapt to evolving models and agent capabilities.
• Collaborate closely with Product and Design teams to transform agent features into practical developer tools.
• Enhance the reliability, efficiency, and maintainability of agentic systems.
• Mentor engineers to elevate technical excellence and clarify priorities and trade-offs.

Required Qualifications

• Proven experience leading and developing software engineering teams.
• Strong practical expertise in Go programming language.
• Proficient with frontend frameworks including React and TypeScript.
• Hands-on experience constructing systems centered on large language models (LLMs) and agentic workflows.
• Familiarity with model APIs, tool invocation, context management, and agent loop mechanisms.
• Strong understanding of distributed systems architecture.
• Working knowledge of AWS cloud infrastructure.
• Excellent technical decision-making skills and comfort operating amid uncertainty.
• Demonstrated ability to help engineers grow while maintaining high standards of delivery.

Preferred Additional Experience

• Development experience with coding agents, developer tools, or cloud-based development environments.
• Knowledge of multi-agent systems, MCP, or agent-specific tools.
• Experience with remote execution environments, sandboxing, or isolated computation.
• Building abstractions to support multiple AI model providers.
• Advanced expertise in AWS, Kubernetes, Docker, or Linux environments.
• Contributions to open-source projects or direct customer engagement experience.

Technical Stack

• Backend: Go, Postgres
• Frontend: TypeScript, React
• Infrastructure: AWS, Kubernetes
• Monitoring: Prometheus, Grafana
• CI/CD: GitHub Actions

Company Overview

Coder leads in AI development infrastructure, enabling enterprises to safely run human and autonomous AI-driven development workflows in governed, consistent environments. Their platform offers self-hosted, agent-enabled workspaces that unify developer productivity and governance, helping businesses transition confidently to AI-augmented software development.

Interview Process

The recruitment process is designed to be transparent, consistent, and pleasant, usually lasting between two to four weeks. Candidates interact with various team members including individual contributors, managers, and senior leaders.

Use of AI in Hiring

Coder embraces AI tools to enhance recruitment efficiency but maintains human judgment for all hiring decisions. AI assistance during conversational interviews is not allowed, whereas its use is permitted in take-home assignments if disclosed. The company uses AI systems like Ashby and Granola to prioritize applications and take interview notes respectively, complying with relevant data protection and AI governance standards.

Equal Opportunity Employer Statement

Coder is committed to equal employment opportunities without discrimination based on legally protected characteristics including race, gender, religion, sexual orientation, disability, veteran status, and more.