Forward Deployed Engineer US

Runpod

37d • $100,000 - $180,000 • Remote

About The Position

Runpod is the AI Developer Cloud, used by over a million developers to experiment, train, fine-tune, deploy, and scale AI. The platform has processed over 20 billion inference requests. We recently closed a $100M Series A and are at a pivotal moment in AI infrastructure development. We are a small, remote-first team that values ownership, speed, and impact. We are seeking individuals who are passionate, driven, and want to make a significant contribution at scale. This position requires the candidate to be located in the US and adhere to the PST timezone.

As a member of the Revenue Team, you will collaborate closely with customers, sales, product, engineering, and support teams to ensure a smooth and positive Runpod experience. Your primary focus will be on providing technical expertise, resolving customer challenges, and building strong customer relationships. The team is committed to delivering excellent solutions and fostering cross-functional collaboration to optimize the platform's efficiency.

This Forward Deployed Engineer role is crucial for supporting the growth of our cloud platform. You will ensure customers have a seamless operational experience by addressing technical issues, guiding their onboarding process, and working closely with engineering and sales teams. The ideal candidate will possess a blend of technical acumen and strong communication skills to enhance customer satisfaction and contribute to platform improvements.

You will play a vital role in resolving technical complexities, shaping the customer journey, and driving product enhancements. By cultivating robust customer relationships and facilitating inter-team collaboration, your work will directly impact operational efficiency, customer satisfaction, and Runpod's overall success.

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 US in the PST region
• Successful completion of a background check.

Nice To Haves

• 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.

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.

Benefits

• Competitive base pay for this position ranges from 100,000- 180,000 usd
• Meaningful equity in a fast-growing company- everyone on the team receives stock options
• Flexible PTO- take the time you need to recharge
• Remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
• $1,200 Home Office & Equipment Stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level