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Coder is seeking a Senior Solutions Engineer to join the Sales Engineering team, partnering with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects. You will guide customers through technical demos, architecture discussions, and proofs-of-concept that demonstrate Coder's value for both human developers and AI coding agents.
This role balances deep technical execution with business acumen. You will own the technical relationship with prospects through pre-sales, efficiently managing toward technical wins. Responsibilities include demoing the Coder platform across developer, administrator, and AI agent workflow perspectives; installing Coder on cloud and on-premises Kubernetes or VM infrastructure; running proofs-of-concept that validate Coder's value for agentic and LLM-powered development workflows; and serving as the prospect's voice, routing insights to Engineering and Product teams.
You will evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact. Additional responsibilities include troubleshooting Coder deployments, networking, and Kubernetes components; tracking and reporting product issues via Linear; and contributing pull requests to Coder's documentation.
Required qualifications include minimum 5 years as a Solutions Engineer selling infrastructure or developer tooling; strong customer-facing skills; ability to translate technical hurdles into business value; deep Linux fundamentals and command-line comfort; 3+ years hands-on with Docker and Kubernetes; experience with AWS, Google Cloud, or Azure; 3+ years with Terraform or comparable infrastructure-as-code; solid networking knowledge (ingress controllers, proxies, load balancers); and experience with AI tooling at both user and infrastructure levels, including LLM infrastructure such as model proxies and routing layers.
Bonus qualifications include experience at both high-growth startups and larger software vendors; direct experience deploying AI coding agents in customer environments; CI/CD, DevOps, or developer-platform background; platform engineering experience; and relevant certifications.
