---
title: 'Kimchi Sales Engineer | EMEA (Remote) at Cast AI'
canonical: 'https://feeny.ai/job/kimchi-sales-engineer-emea-remote-cast-ai-europe-447dtf2vpwha'
type: 'job'
last_seen: '2026-09-12'
---

# Kimchi Sales Engineer | EMEA (Remote) at Cast AI

- **Company:** Cast AI
- **Location:** Europe, the Middle East and Africa / European Union
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-12
- **Apply:** https://cast.ai/careers/apply/?gh_jid=4383244009

## Job description

Why Kimchi?

Kimchi is the enterprise AI coding platform from [Cast AI](https://cast.ai/), the automation company behind cloud-native infrastructure optimization for 2,100+ organizations, including Akamai, BMW, Cisco, and HuggingFace. We took six years of autonomous-infrastructure engineering and pointed it at how enterprises write software.

Kimchi is a multi-session, multi-model coding harness with an OpenAI-compatible inference gateway and model router, IDE and desktop clients, and autonomous agents like our Code Reviewer. It reached general availability in July 2026 and is already displacing incumbent coding assistants in enterprise accounts, at a fraction of the inference cost, with the cost attribution and governance FinOps and platform teams actually need.

You’ll be the technical lead on our fastest-moving product line in EMEA: the person who runs the proofs of concept that decide whether an engineering org moves its coding agents onto Kimchi.

## About the role

As a Sales Engineer based in EMEA, you will be a founding member of our regional Go-to-Market organization and play a critical role in landing and expanding Kimchi within large engineering organizations across Europe, the Middle East, and Africa. You will sell to CTOs, VPs of Engineering, Platform Engineering leaders, and senior developers—translating Kimchi’s dual value proposition into clear business and technical outcomes. You will help prospects understand how Kimchi delivers the autonomy engineers want, inside the governance, security, deployment, and economic controls the enterprise needs. Your work will directly impact regional revenue, enterprise product-market fit, and customer outcomes at scale.

## Requirements

Must-haves:

- Proven Sales Engineer, Solutions Architect, or Field Engineer experience in developer tools, AI/ML infrastructure, or cloud platforms
- Hands-on fluency with AI coding agents (Claude Code, Cursor, Codex, Copilot or similar) and a clear-eyed view of how they differ
- Working knowledge of LLM serving and integration: OpenAI-compatible APIs, inference gateways and routers, context windows, tool calling, MCP, token economics
- Comfortable in a terminal and in customer codebases. Fluent in at least one scripting language and able to debug a broken config live on a call
- Track record converting technical evaluations into signed business, including enterprise security and architecture reviews
- Based in EMEA with the right to work in your country of residence, and willing to travel across the region

Nice to have:

- Experience benchmarking models and agents (accuracy, cost, latency)
- Kubernetes or cloud infrastructure knowledge (useful for cross-sell into Cast AI’s core platform)
- A public technical profile: talks, writing, or open source
- Additional European languages

## Responsibilities

- Own the technical win. Run fast, well-scoped POCs from first architecture conversation to signed evaluation: install the harness, wire up the gateway, migrate existing agent workflows, and prove value against the customer’s own repositories and success criteria.
- Be credible on day one. Walk into rooms with staff engineers and platform leads and hold your own on model routing, context management, and how coding agents actually differ in practice.
- Design comparisons that survive scrutiny. Measure Kimchi against incumbent tooling on accuracy, cost per run, and developer experience, and make the numbers land for both engineers and executive buyers.
- Lead the gates. Enterprise security, data residency, and network architecture reviews are a recurring stage in Kimchi deals. You’ll run them, pulling in product engineering when the questions go deeper.
- Unblock in real time. Diagnose and fix integration issues live. Sometimes that’s a customer’s IDE config that won’t authenticate at 6pm the day before a POC review.
- Close the loop to product. Kimchi ships continuously. Signal you surface from live POCs frequently turns into same-day fixes.
- Multiply the team. Enable AEs and the wider SE org to spot and qualify Kimchi opportunities, and represent Kimchi at conferences and meetups across EMEA.

What’s in it for you?

- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.

Hiring process

- Screening call with Recruiter
- Hiring Manager interview
- Technical interview
- Team Interview
- Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.

## About Cast AI

## Company Overview
- **One-liner**: Cast AI provides an Application Performance Automation (APA) platform that continuously optimizes Kubernetes infrastructure for cost, performance, and reliability with minimal manual intervention.
- **Entity Type**: Private (Series C; total funding ~$185.8M–$199.9M per conflicting reports)
- **Headquarters**: Miami, Florida, United States
- **Founded**: 2019
- **Founders**: Leon Kuperman (CEO), Laurent Gil (President), Yuri Frayman (CTO)

## Core Business
- **Primary industry**: Kubernetes optimization, cloud cost management, and application performance automation.
- **Target customers**: Platform, SRE, and FinOps teams at B2B companies running Kubernetes (SMB to enterprise).
- **Mission/purpose statement**: “The cloud as promised: fast, reliable and cost-efficient.” [cast.ai/about-us](https://cast.ai/about-us/)

## Products & Services
- **Cast AI APA Platform**: A SaaS platform that ingests real-time workload, cost, and SLO signals to autonomously rightsize pods, scale nodes, optimize GPU and Spot instances, and self-heal operational issues. Supports AWS EKS, Azure AKS, Google GKE, and on-prem clusters. Includes cost and performance dashboards, agentic runbooks, and workload-aware predictive models. [cast.ai](https://cast.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual Revenue reported as ~$60M (LinkedIn); Total Funding ~$185.8M (LinkedIn) or ~$199.9M (CB Insights – conflicting reports).
- **Notable Investors/Partners**: Specific investors are not named in available sources; funding rounds include Series B ($35M, Nov 2023, 3 investors), a venture round ($20M, Mar 2023), and Series C ($108M, Apr 2025, 8 investors). [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai) | [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)
- **Growth Signals**: 2100+ customers globally; 40% cloud waste reduction claimed; 270 employees (+19.4% YoY); ranked #1 out of 223 solutions in its category; offices in Miami, New York, Vilnius, London, Tel Aviv, Bengaluru, Dallas. [cast.ai/about-us](https://cast.ai/about-us/) | [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Competitive Advantages
- **Predictive engine trained on massive dataset** from thousands of clusters and millions of workloads – moves beyond rule-based automation to workload-aware decisions.
- **App-aware reliability**: Predicts spot instance interruptions up to 30 minutes before they occur, enabling graceful workload migration.
- **Agentic runbooks** that self-heal drift, image issues, policy violations while requiring human approval for changes.
- **Works in read-only mode initially** – no infrastructure changes required to start, lowering adoption risk.

## Strategic Focus
- Expanding automation to GPU/AI workload optimization alongside traditional Kubernetes rightsizing.
- Deepening integrations with cloud providers (AWS, Azure, Google) and extending agentic capabilities.
- Scaling global presence with remote-first teams and new offices in key tech hubs.

## Why Work Here
- **Remote-first** culture with flexible hours and fully supported remote work; offices available in multiple countries. [cast.ai/careers](https://cast.ai/careers/)
- **Benefits**: Stock options from day one, annual hackathon, home office allowance, learning & development budget, comprehensive health insurance, bonus days off, company events.
- **Engineering culture**: Values “practice customer obsession,” “develop and hire the best,” “lead by ownership,” and “expect and advocate change.” Emphasis on innovation and fast learning.
- **Glassdoor style**: Employer rating 4.3/5 (57 reviews); culture 4.0, compensation 4.2, career 4.2. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Sources
1. [cast.ai/about-us](https://cast.ai/about-us/)
2. [cast.ai](https://cast.ai/)
3. [cast.ai/careers](https://cast.ai/careers/)
4. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)
5. [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)

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