Senior Solutions Engineer, Coder

• 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

Desirable

• 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
• 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

• 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
• Not permitted: Using AI assistance during conversational interviews
• Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly
• Our use of AI in hiring:
• We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
• Ashby helps 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
• Granola takes notes during our interview calls so our team can focus on the conversation with you
• All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models