Kimchi Sales Engineer

Jobgether; Ireland; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible remote-first environment

Equity options

Learning & development budget

Conference attendance

Job summary

Jobgether is seeking a Kimchi Sales Engineer in Ireland to drive adoption of an enterprise AI coding platform across EMEA. You will lead technical evaluations and proofs of concept that demonstrate measurable value in real customer environments.

You will work with CTOs, VPs of Engineering, platform leaders, and senior developers, translating complex technology into compelling business outcomes and owning regional go-to-market initiatives.

Qualifications

• Proven experience in technical sales roles or solutions architecture.
• Ability to lead proofs of concept and evaluate AI tooling in customer environments.
• Experience discussing model routing, context management, and developer workflows with technical buyers.
• Comfort navigating security reviews, data residency, and enterprise architecture gates.

Responsibilities

• Own technical wins: lead fast, scoped POCs from architecture discussions through evaluation.
• Lead technical conversations with engineers and platform leaders on model routing and workflows.
• Design and run rigorous evaluations comparing tools on accuracy, cost, latency, and developer experience.

Skills

Sales engineering

Technical communication

AI coding agents

LLM serving

Kubernetes/cloud infra

Problem solving

Stakeholder management

Tools

Claude Code

Cursor

Codex

Copilot

OpenAI APIs

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Kimchi Sales Engineer based in Ireland.

This is a high-impact technical sales role focused on bringing an enterprise AI coding platform to engineering organizations across EMEA.

You will lead technical evaluations and proofs of concept that demonstrate measurable value in real customer environments.

The role combines AI coding agents, LLM infrastructure, developer tooling, cloud platforms, and enterprise architecture.

You will work directly with CTOs, VPs of Engineering, platform leaders, and senior developers.

Your work will influence regional revenue, enterprise adoption, product-market fit, and customer outcomes.

As a founding member of the regional Go-to-Market organization, you will operate with significant ownership in a fast-moving environment.

The position is ideal for a technically credible, customer-focused engineer who can translate complex technology into compelling business outcomes.

Accountabilities

• Own technical wins: Lead fast, well-scoped proofs of concept from initial architecture discussions through successful technical evaluations, including installing the coding harness, configuring inference gateways, migrating existing agent workflows, and demonstrating value against customer repositories and agreed success criteria.
• Lead technical conversations: Engage confidently with staff engineers, platform leaders, and technical decision-makers on model routing, context management, coding agents, inference architecture, and developer workflows.
• Build rigorous evaluations: Design and execute comparisons against incumbent coding tools, measuring factors such as accuracy, inference cost, latency, and developer experience while translating technical findings into outcomes that resonate with executive buyers.
• Manage enterprise technical gates: Lead security, data residency, deployment, and network architecture reviews, bringing in product and engineering specialists when deeper technical expertise is required.
• Troubleshoot in real time: Diagnose and resolve integration, configuration, authentication, IDE, and workflow issues during customer engagements and POCs, often under tight deadlines.
• Feed customer insights into product: Capture recurring technical challenges, customer feedback, and product opportunities from live evaluations and communicate them to internal teams to support rapid product improvements.
• Enable the wider sales organization: Help Account Executives and other Sales Engineers identify, qualify, and advance opportunities, while representing the product at conferences, technical events, and meetups across EMEA.

Requirements

• Proven experience as a Sales Engineer, Solutions Architect, Field Engineer, or similar technical customer-facing role within developer tools, AI/ML infrastructure, cloud platforms, or related technology environments.
• Hands-on experience with AI coding agents such as Claude Code, Cursor, Codex, Copilot, or comparable tools, with the ability to clearly explain their practical differences and trade-offs.
• Working knowledge of LLM serving and integration, including OpenAI-compatible APIs, inference gateways and routers, context windows, tool calling, MCP, and token economics.
• Strong technical troubleshooting skills, with confidence working in terminals and customer codebases, writing scripts, and debugging configuration or integration issues live with customers.
• Demonstrated ability to convert technical evaluations into signed business, including experience navigating enterprise security, architecture, and technical review processes.
• Experience benchmarking AI models or agents across dimensions such as accuracy, cost, latency, or developer experience is a plus.
• Knowledge of Kubernetes or cloud infrastructure is desirable, particularly for organizations with broader infrastructure and platform requirements.
• A public technical profile through conference talks, technical writing, open-source contributions, or similar activities is advantageous.
• Additional European language skills are a plus.
• Based in EMEA with the legal right to work in the country of residence and willingness to travel across the region.
• Strong communication, presentation, analytical, problem-solving, and stakeholder-management skills, with the ability to operate effectively with both highly technical audiences and senior business decision-makers.

Benefits

• Competitive salary based on experience and level.
• Flexible, remote-first working environment within a global team.
• Equity options.
• Opportunity to collaborate with cloud and AI infrastructure specialists on a rapidly evolving technology platform.
• Fast-paced workflow with short feature-development cycles, often completed within 1–4 weeks.
• Dedicated time for personal projects and professional self-improvement, with approximately 10% of working time available for these activities.
• Learning and development budget, including access to international conferences and professional courses.
• Annual hackathon focused on innovation, experimentation, and team collaboration.
• Team-building budget and company events.
• Equipment budget to support an effective remote working setup.
• Additional days off designed to support work-life balance.
• Opportunity to play a foundational role in establishing and scaling a new regional Go-to-Market organization.
• Exposure to enterprise AI, coding agents, LLM infrastructure, developer platforms, and complex technical buying environments.

We appreciate your interest and wish you the best!

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