Forward Deployed Engineer EMEA

About the role

RunPod is the AI Developer Cloud, used by more than one million developers to experiment, train, fine-tune, deploy and scale AI. As part of the Revenue Team, the Forward Deployed Engineer works closely with customers, sales, product, engineering and support to provide technical insights, resolve challenges and build trust. The role is remote-first and must be based in EMEA (ideally Ireland, UK or Spain).

Key responsibilities

• Take part in sales meetings, explain RunPod's technologies, give architectural recommendations and build proof-of-concept solutions to support onboarding of potential high-spending customers.
• Troubleshoot and resolve critical or complex technical issues escalated by customers, covering configuration, performance, functionality, compatibility and code errors.
• Use code analysis, scripting for testing, log analysis and remote access to find root causes and deliver solutions or workarounds.
• Communicate with customers and internal teams (engineering, sales, supply, product management) and relay feedback to help shape product improvements.
• Help the support team with escalated tickets, work with engineering on workarounds and bug fixes, and with the infrastructure team on GPU server issues.
• Create and maintain technical documentation (knowledge base articles, FAQs, guides, manuals) and deliver training sessions, webinars and demos.

Required profile

• Bachelor's degree in a relevant field or equivalent professional experience.
• 3+ years of professional experience in software development.
• Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications or agentic systems.
• Located in EMEA; successful completion of a background check.
• Visa sponsorship is not available.

Required skills

• Preferred: Python (Django, Flask, PyTorch), JavaScript (React, Node.js) and Go, with full-stack experience.
• Preferred: Linux/Ubuntu, Docker, MySQL, PostgreSQL, MongoDB, and data center components and protocols (TCP/IP, HTTP/HTTPS, SSH, DNS).
• Preferred: deploying and managing AI/ML models as services or APIs, and reading code, logs and errors.

What we offer

• Base pay of $100,000 - $180,000 USD, paid in the local currency equivalent.
• Equity in the form of RSUs.
• Flexible PTO.
• $1,200 USD home office and equipment stipend.
• Remote-first work, mostly in Slack.