7+ years of experience in a combination of Forward Deployed Engineering, Solutions Architecture, Field CTO, Technical Consulting, or Developer Relations roles at an infrastructure, developer tools, or AI company
Demonstrated experience helping partners or customers understand and adopt products in emerging or undefined categories, not just executing playbooks for established ones
Proven hands-on experience designing and deploying cloud infrastructure on at least one major cloud provider (AWS, Google Cloud, or Microsoft Azure), with production-level Kubernetes and Terraform depth. You have done the work and can speak to it with specificity.
2+ years deploying or operating AI coding agents in a production or near-production environment: you understand how agent loops execute, where credentials live, and what governance and audit requirements look like in a European enterprise context
Ability to articulate the architectural difference between workspace-local agent tooling and a centralized agentic harness, and to explain why that distinction matters to a security, compliance, or data sovereignty stakeholder
Experience working with channel or technology partners in a co-sell model: hyperscaler partner programs, GSI/RSI partnerships, or VAR/distributor ecosystems in EMEA markets
Experience building repeatable technical GTM assets that scaled beyond your personal delivery: sales plays, enablement curricula, reference architectures, or technical content programs
Executive communication and Field CTO credibility: you can hold a technical vision conversation with a partner CTO and a deal-level architecture review with an SE in the same day, in English and ideally at least one additional European language
Strong written communication: you can produce a Working Backwards PR/FAQ, a technical architecture document, and a blog post without those being separate skills requiring separate people
Self-directed, analytically minded, and comfortable operating with full autonomy. You will define processes that don’t exist, build tools that haven’t been scoped, and create a function from first principles in a new region.
(Bonus tacos? That’s how we say thanks at Coder. Ask us about it.)
Prior Forward Deployed Engineer experience at a platform company (Palantir, Scale AI, frontier AI lab, or equivalent embedded deployment model)
Track record of public technical advocacy: blog posts, conference talks, open-source contributions, or developer/partner community engagement
Experience with hyperscaler partner programs (e.g., ISV Accelerate, strategic collaboration agreements, co-sell programs) at an operational level
Familiarity with European regulatory environments: GDPR, DORA, NIS2, AI Act compliance requirements, and data sovereignty patterns for cloud-native deployments
Experience with air-gapped or network-isolated deployments common in European financial services, government, or defense contexts
Background in AI governance frameworks, session audit requirements, or SIEM integration for AI workloads
Experience with LLM gateway or proxy infrastructure (LiteLLM, OpenRouter, or equivalent) in a multi-team or enterprise context
Experience designing human-in-the-loop breakpoints or escalation patterns for autonomous agent workflows
Kubernetes certification (CKA, CKAD, or CKS)
Experience with Tailscale or similar overlay networking tools
Open-source contributions, particularly in CNCF, MCP, or AI agent ecosystems
Existing relationships with hyperscaler EMEA solutions architecture teams, European GSI technical practices, or AI infrastructure partner ecosystems
Fluency in German, French, or a Nordic language in addition to English
You have done the hard technical work before: deploying cloud-native infrastructure, navigating Kubernetes in production, building with Terraform, and operating in the complexity of large European enterprise environments. You bring that credibility into every partner conversation.
You can walk a partner CTO through how Coder enables parallelized AI agents in a regulated European enterprise, covering credential isolation, audit lineage, GDPR-compliant data handling, and escalation design, and turn that conversation into a joint GTM play their sellers can run next quarter.
You can walk into an unstructured partner relationship, assess the technical and commercial opportunity, and chart a path from first enablement session to first co-sourced deal without waiting to be told what to do.
You translate deep technical knowledge into assets that scale: reference architectures partners hand to their customers, enablement modules partners consume on their own, and GTM playbooks partner sellers run without PDE involvement.
You are as invested in the pattern behind the engagement as you are in the engagement itself. Every bespoke partner interaction produces a reusable artifact. Every field insight feeds back to product. You codify by instinct.
You make the ecosystem and the product better: your field experience shapes how Coder builds integrations, how partners deliver, and how the EMEA market understands AI Development Infrastructure as a category.
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
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.
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.
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.
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.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact
[email protected].
