Software Engineering Manager (Agentic Engineering)
Lead and grow a software engineering team focused on enhancing agentic development systems at Coder.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
Role intensity
20% coding — mostly leadership/strategy
AI in the day-to-day
Coder embraces AI tools for recruitment and assessments but not during conversational interviews.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Software Engineering Manager at Coder, the individual will oversee a team focused on enhancing the capabilities of agentic development systems. Key skills include hands-on experience with Go, React, and TypeScript, along with a strong foundation in distributed systems and AWS. This position is ideal for someone with a background in managing engineering teams and a track record of fostering technical growth while maintaining high execution standards. Coder's emphasis on evolving its provider-agnostic architecture highlights the innovative environment in which this team operates.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Coder's careers page October 27, 2026.
- AWS appears in 5.4% of 1173 comparable lead management roles; GitHub Actions appears in 0.3% of 1173 comparable lead management roles.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, GitHub Actions, Go, Grafana, Kubernetes, PostgreSQL.
- What seniority level is this role?
- Coder targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineering Manager (Agentic Engineering) role at Coder.
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.
What you’ll do here
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.
What we’re looking for
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.
Our tech stack
Backend: Go, Postgres
Frontend: TypeScript, React
Infrastructure: AWS, Kubernetes
Observability: Prometheus, Grafana
CI/CD: GitHub Actions
Bonus tacos if you have
(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.