Technical Support Engineer II - CoreWeave Forge

What You’ll Do:

The Global Field Organization (GFO) at CoreWeave makes sure every client running AI workloads at scale has a seamless, reliable, and high-performance experience. Within the GFO, the SaaS Technical Support Engineering team supports CoreWeave Forge, the platform ML engineers and researchers use to track experiments, manage models, and build with LLMs. The team works directly with customers to debug training workflows, resolve SDK and API integration issues, and keep their AI development moving. The GFO team works closely with internal and customer engineering teams, so the SaaS TSE team brings insight from the field back to Forge product and engineering and helps shape the CoreWeave product roadmap.

About the role:

• Quickly respond to all inbound support requests, including email, live chat, and community forums
• Triage bugs and requests based on customer type and severity of issue
• Track inbound and outbound responses to ensure contact SLAs are being met
• Maintain a fast response time for entire user base
• Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features
• Recognize trends in user messages to help identify areas of improvement in internal or external documentation
• Learn CoreWeave Forge’s product features and build up knowledge base to resolve issues on your own
• Participate in a 24/7 on-call rotation to provide support during weekends

Who You Are:

• 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects
• Python proficiency
• Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools
• A passion for connecting with real users and enabling them to be power users of the product
• Good organization of assigned requests to oversee timely follow-up for every message
• Work autonomously in a self-directed environment
• Proactively find ways to improve processes and collaborate internally
• Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team
• Interest in machine learning

Preferred:

• Previous experience in machine learning
• Customer service experience in a technical SaaS environment
• Experience in frontend frameworks
• Experience with Docker, AWS, GCP, Azure
• Experience with Kubernetes or other cloud infrastructures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why Us?

We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).