5+yrs experience with Linux & Networking Fundamentals: (VPN, SSH, firewalls) Proficiency in scripting using Bash and Python Cross-Stack Troubleshooting: Ability to rapidly diagnose and understand issues that span various layers—from customer data input, cloud infrastructure configurations, network connectivity, to model inference performance on diverse hardware Computer Vision & ML Working Practices: Knowledge of CV/ML pipeline practices to diagnose customer issues across data, training, and deployments on edge devices such as Nvidia Jetson, and translate customer needs into actionable product configurations or best practices Contextual Problem Solving: Active listening and asking probing questions to understand the customer's underlying business context, their specific use case, and how a technical issue impacts project goals Workload Management: Manage a diverse portfolio of customer accounts and technical issues, effectively prioritizing tasks based on customer impact, strategic importance, and urgency Building Relationships: Capable of establishing trust and building strong working relationships with customers at short notice or over minimal interaction, in high tension conditions Translating Complexity: Ability to convey and extract pertinent information from discussions with key stakeholders involved in unblocking customers Managing Sensitive Issues: Professionally navigate business critical technical issues, ensuring effective communication and coordination between the customer and internal teams Opportunity Identification: Possess a keen eye for identifying upsell opportunities or opportunities to expand usage of Roboflow technology Proactive Knowledge Sharing: Experience of leveraging a knowledge-centric support approach (documenting solutions, creating internal runbooks, and contributing high-quality articles to both internal and external knowledge bases) Process & Tooling Evolution: Actively identify patterns, recurring issues, or changes in customer behavior that indicate systemic problems. Contribute to root cause analysis, propose preventative measures, and suggest improvements to internal support processes and tools