Kimchi Sales Engineer

Jobgether; France; Sur place; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Flexible remote-first environment

Equity options

Learning & development budget

Annual hackathon

Conference and training access

Résumé du poste

Jobgether is seeking a Kimchi Sales Engineer based in France to drive technical evaluations and PoCs for an enterprise AI coding platform across EMEA. You will engage CTOs and engineering leaders, translating complex tech into measurable business value while owning architectural discussions and deployment considerations.

The role requires strong customer-facing communication, hands-on troubleshooting, and the ability to navigate enterprise security and integration reviews, with remote-first

Qualifications

• Proven experience in technical sales or solutions architecture in developer tools, AI/ML infra, or cloud platforms.
• Ability to translate complex tech into business value for executives and technical buyers.
• Experience working with SKUs, architecture reviews, and enterprise security considerations.

Responsabilités

• Own technical wins from architecture discussions through PoCs and successful evaluations.
• Lead technical conversations with engineers, platform leaders, and decision-makers.
• Design rigorous evaluations comparing tools on accuracy, cost, latency and developer experience.
• Manage enterprise security, data residency, deployment, and network architecture reviews.
• Troubleshoot integration and configuration during customer engagements and POCs.

Connaissances

Sales Engineering

Enterprise AI

Cloud platforms

Stakeholder communication

Outils

Kubernetes

OpenAI API

Description du poste

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 France.

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.