Senior Partner Deployed Engineer

What You’ll Do

Serve as the strategic technical thought partner to EMEA partner leadership, including practice leads, CTOs, and solutions architects at global systems integrators, regional cloud consultancies, and hyperscaler field teams. Own the technical relationship and set the vision for how Coder fits into each partner’s AI and modernization portfolio.

Co-create sales plays tailored to each partner’s customer base, vertical focus, and services capabilities. Author Working Backwards outcome proposals for strategic partner-customer combinations that translate AI Development Infrastructure into deal-level urgency.

Develop and deliver workshops, Builder Labs, and partner-hosted enablement sessions as the primary awareness and demand generation vehicle for the EMEA ecosystem. Build hands-on demonstration environments and interactive experiences that partners can use independently.

Intervene directly on the highest-value partner-attached deals across EMEA: co-sell calls, technical discovery, PoV scoping, architecture review, and technical win support. Own the engagement until the partner’s team can carry it independently.

Transform bespoke partner enablement sessions into structured LMS modules and certification tiers that scale across the EMEA partner base without requiring live PDE support for each new partner.

Produce “better together” reference architectures for strategic partner combinations across cloud providers and AI platforms. Include deployment diagrams, network topology, IAM patterns, and operational runbooks that partner SAs can hand directly to customers.

Codify each successful partner engagement into a repeatable GTM play: trigger conditions, discovery questions, positioning framework, demo script, PoV scope template, and expected outcomes. Build a playbook library that a new PDE or partner seller can pick up and run.

Build AI-powered self-service tools that automate high-volume PDE activities: Opportunity Brief Generator, PR/FAQ Generator, Workshop-in-a-Box deployment, and demo site builder.

Produce a monthly partner intelligence digest from EMEA engagements: what customers are asking for, how competitors are positioning, where integrations are missing, which vertical use cases are emerging. Distribute to Product, Engineering, and GTM leadership.

Own the EMEA-relevant portions of the joint technical integration roadmap with strategic partners. Define priorities cross-functionally with Product and Engineering based on field signals from the EMEA market.

Create and publish Partner Relations content, the ecosystem equivalent of Developer Relations: technical blog posts, cookbooks, partner ecosystem conference talks, enablement videos, and workshop recaps. Build Coder’s technical brand within the EMEA partner community.

Contribute to cloud marketplace product listing stewardship, competency maintenance documentation, and CSP co-build technical requirements as they apply to EMEA-specific partner and compliance contexts.

What We’re Looking For

• 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 Points

• 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

What Success Looks Like

• 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.