Description

As a Technical Support Specialist, you’ll be the first line of contact for our customers — developers, data scientists, and enterprise clients. You’ll troubleshoot technical issues, provide expert guidance on our products, and ensure a seamless experience that drives customer satisfaction and retention.

This role sits at the heart of what we do – Nimble’s “Bakery” (in house AI-based platform for building data pipelines) .

We're looking for someone eager to take a step up from a classic support role into an exciting position in the world of data.

Responsibilities

• Provide exceptional technical support to customers and partners via chat, email, phone, and screen-share sessions
• Troubleshoot complex issues and provide timely resolution - issues may involve but are not limited to cloud environment services, API usage and errors, application performance, Cloud Cost Management, Security issues, Flexera SaaS application and/or configuration issues, and many more
• Communicate effectively with Product Management and AI team & Engineering regarding defects and enhancement requests
• Maintain product, platform, and industry knowledge necessary to offer outstanding technical support to customers
  
  

• Minimum 2 years of experience in Technical Support (Tier 2) or a similar technical role, preferably in a global B2B SaaS environment.
• Excellent English communication skills — clear, concise, and effective across written, verbal, and listening formats.
• Solid understanding of networking fundamentals — including HTTP/S, DNS, proxies, and VPNs.
• Proficiency with tools like Postman, cURL, browser dev tools, and command-line interfaces.
• Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure).
• Strong analytical thinking and the ability to diagnose and resolve complex infrastructure and API-related issues.
• Customer-first attitude with genuine dedication to delivering a great user experience.
• Problem-solving mindset, intellectual curiosity, and willingness to quickly learn new tools or technologies.
• Organized and self-driven, with the ability to manage time, priorities, and workload independently.
• Comfortable working in a fast-paced, collaborative environment.
• Hands-on experience managing datasets and ensuring high data quality standard is a plus