Forward Deployed Engineer helping strategic customers adopt Tailscale’s secure networking software. Providing onboarding, technical support, QBRs, troubleshooting, and customer success guidance.
About the role
- Senior Forward Deployed Engineer guiding enterprise customers through Coder’s secure AI development platform. Designing cloud architectures, deploying agentic workflows, and driving onboarding and adoption.
Responsibilities
- Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across human and AI development workflows
- Own onboarding engagements end to end, moving customers from contract to productive adoption
- Lead Get Well engagements addressing architecture, rollout, or organizational issues affecting customer health or growth
- Help customers implement technical and organizational changes for agentic development at scale
- Design and document repeatable delivery patterns for onboarding, architecture, and adoption
- Design and recommend reference architectures suited to customer cloud environments, security postures, and organizational constraints
- Translate customer environment complexity into guidance on networking, ingress, identity, and infrastructure patterns
- Anticipate technical and operational risks, escalate issues, and track them through resolution
- Contribute to technical documentation, architecture guides, how-to resources, and statements of work
- Capture structured product feedback and advocate with engineering and product teams for roadmap and usability improvements
Requirements
- 5 or more years of experience in Forward Deployed Engineering, Solutions Architecture, Platform Engineering, or an equivalent post-sales technical role
- Demonstrated experience guiding enterprise customers through complex technical deployments
- Hands-on experience designing and deploying cloud infrastructure on AWS, Google Cloud, or Microsoft Azure
- 2+ years of experience deploying or operating AI coding agents in production or near-production environments
- Ability to explain workspace-local agent tooling versus centralized agentic harnesses to security or compliance stakeholders
- 2 or more years of production Kubernetes experience, including cluster design, workload scheduling, networking, storage, and lifecycle operations
- 2 or more years of experience with Terraform or equivalent infrastructure-as-code tooling
- Solid Linux systems administration and cloud-native networking knowledge, including ingress controllers, proxies, load balancers, and DNS
- Familiarity with CI/CD pipeline design and DevOps practices
- Working knowledge of cloud security and identity, including IAM, network segmentation, secrets management, and compliance controls
- Understanding of observability practices including logging, metrics, and tracing
- Ability to design repeatable delivery patterns
- Comfort supporting organizational and workflow change alongside technical change
- Strong verbal and written communication skills
- High customer empathy
- Self-directed, analytical, autonomous, and comfortable in a startup environment
Benefits
- Equity
- Bonus
- Remote work arrangement
- Transparent interview process intended to take two to four weeks, if schedules allow
- Use of AI tooling permitted for take-home assessments
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