150K–209K USD / year

Senior Solutions Engineer (US West)

SalesRemote — United States
Published on 2026-09-03
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Partner with Account Executives to progress and close enterprise sales by guiding prospects through technical demos, architecture discussions, and proofs of concept. The role combines hands-on deployment and troubleshooting with translating technical outcomes into business value, including for AI-assisted and agentic development workflows.

About the company

Coder provides cloud development environments and AI development infrastructure that helps enterprises provision, govern, and secure developer workspaces.

The team

Sales Engineering team

Stack

CoderKubernetesDockerLinuxAWSGoogle CloudMicrosoft AzureTerraform

What you'll do

  • Own prospect technical relationships and guide evaluations toward a technical win.
  • Demonstrate Coder for developers, administrators, and AI-agent workflows.
  • Install Coder on cloud and on-premises Kubernetes or VM infrastructure.
  • Run proofs of concept, including agentic and LLM-powered development workflows.
  • Troubleshoot deployments, networking, and Kubernetes components.
  • Share prospect and customer insights with Product and Engineering; track issues and requests in Linear.
  • Contribute documentation pull requests.

What we're looking for

  • At least 5 years of solutions engineering experience selling infrastructure or developer tools.
  • Strong customer-facing skills and the ability to connect technical challenges to business value.
  • Deep Linux fundamentals and command-line proficiency.
  • At least 3 years of hands-on Docker and Kubernetes experience.
  • Experience with AWS, Google Cloud, or Microsoft Azure.
  • At least 3 years using Terraform or comparable infrastructure-as-code tools.
  • Solid networking knowledge, including ingress controllers, proxies, and load balancers.
  • Experience with AI coding tools and LLM infrastructure, and understanding of enterprise evaluation and adoption.

Nice to have

  • Experience at both high-growth startups and larger software vendors.
  • Experience deploying or supporting AI coding agents in customer environments.
  • Background in CI/CD, DevOps, developer platforms, or platform engineering.
  • Kubernetes, AWS, or related certifications.

Benefits

  • Equity
  • Commission; solutions engineers have a 70/30 base salary/variable split.

Hiring process

  1. Interview process typically takes 2–4 weeks and includes individual contributors, managers, and senior leaders.
View original job post