We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them.

This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.

What you will be doing

Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win

Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives

Install Coder on cloud and on-prem Kubernetes or VM infrastructure

Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals

Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact

Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product

Track and report product issues and feature requests using Linear

Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation

Contribute pull requests to Coder’s documentation

What you bring

Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling

Strong customer-facing skills that win trust with technical stakeholders

Ability to translate technical hurdles into business value in real time

Understand agentic AI software development use cases and advocate passionately where appropriate

Comfortable leading architecture demos and deep-dive troubleshooting sessions

Deep Linux fundamentals and comfort at the command line

3+ years hands-on with Docker and Kubernetes

Experience with AWS, Google Cloud, or Microsoft Azure

3+ years with Terraform or comparable infrastructure-as-code tooling

Solid grasp of networking: ingress controllers, proxies, load balancers

Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them

Startup-speed execution, ownership mindset, and a player-coach attitude

Bonus tacos if you have

(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)

Success at both high-growth startups and larger software vendors

Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools)

Background in CI/CD, DevOps, or developer-platform products

Experience in platform engineering or developer platform teams

Kubernetes, AWS, or related certifications

About Coder

Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com.

Interview process

We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.

AI use during the interview process

As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.