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RunPod

Forward Deployed Engineer EMEA

RunPod is hiring a Forward Deployed Engineer EMEA for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on RunPod.

Level's read on this job

  • On Level's scale, this forward deployed engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include PyTorch, fine tuning and cloud infrastructure.
  • Level classifies it as a mid-level role.
  • Level lists 26 other open roles at RunPod.

AI in this role

Provide technical insights and architectural guidance for customers building and scaling AI workloads on Runpod's cloud platform.

pytorch
fine-tuningcloud-infrastructurecustomer-supporttroubleshootingarchitecture

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

As part of the Revenue Team, you’ll work closely with customers, the sales team, the product team, the engineering team and the support team to ensure a seamless and delightful Runpod experience. Your role will focus on providing technical insights, resolving challenges, and building trust with customers. Our team is dedicated to delivering exceptional solutions and fostering collaboration across functions to make the platform as smooth and efficient as possible.

This Forward Deployed Engineer will support the growth of our cloud platform. This role ensures customers experience seamless operations, addressing technical challenges, guiding onboarding, and collaborating with engineering and sales teams. Ideal candidates combine technical expertise with strong communication skills to enhance customer satisfaction and improve our platform.

You’ll play a key role in solving technical challenges, shaping the customer experience, and driving product improvements. By building strong customer relationships and collaborating across teams, your contributions will directly enhance operational efficiency, customer satisfaction, and the success of Runpod.

This FDE will need to be located in EMEA

Responsibilities:

  • Participate in sales meetings with customers, explain Runpod’s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers.

  • Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in Runpod’s products or services.

  • Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds.

  • Communicate effectively with customers and internal teams, including engineering, sales, supply and product management teams, to ensure customer satisfaction and integrate valuable feedback.

  • Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues.

  • Contribute to product development and testing efforts by relaying feedback from customers and the support team to the engineering team, helping to shape product improvements.

  • Create and maintain technical documentation, such as knowledge base articles, FAQs, guides, and manuals, while also developing and delivering training sessions, webinars, and demos for customers, partners, and internal teams.

Requirements:

  • Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience.

  • 3+ years of professional experience in software development.

  • Strong problem-solving skills and ability to work in a collaborative environment.

  • Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems.

  • Excellent communication skills and attention to detail.

  • Located in EMEA (ideally Ireland, Uk or Spain)

  • Successful completion of a background check.

Preferred:

  • Strong technical skills, including proficiency in Python (Django, Flask, PyTorch), JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development.

  • Knowledge of various operating systems (Linux/Ubuntu), containerization (Docker), SQL databases (MySQL, PostgreSQL), NoSQL databases (MongoDB), and an understanding of data center components such as server hardware and network operations, as well as familiarity with common network protocols like TCP/IP, HTTP/HTTPS, SSH, and DNS.

  • Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms.

  • Ability to write and execute scripts, queries, or commands, and the ability to read and understand code, logs, errors, or traces.

What You’ll Receive:

  • The competitive base pay for this position ranges from 100,000- 180,000 usd (local currency equivalent). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location

  • Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.

  • Flexible PTO- take the time you need to recharge

  • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication

  • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.

  • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work; however, we are currently unable to sponsor employment visas

How we rate this

Forward Deployed Engineer EMEA at RunPod rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningCloud InfrastructureCustomer SupportTroubleshootingArchitecturePyTorch

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  3. Tell me about a project where customer support was part of your work. What did you do?
  4. Tell me about a project where troubleshooting was part of your work. What did you do?
  5. Tell me about a project where architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning, Cloud Infrastructure, Customer Support, Troubleshooting, and Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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