Support Engineer troubleshoots complex computer vision/ML issues for enterprise customers, provides consultative advice, creates technical content, and collaborates with sales/product teams. Requires 5+ years Linux/networking experience, Python/Bash scripting, and CV/ML pipeline knowledge.
Salary not listed
Remote5+ YOESupport Engineering
About the role
Role and Responsibilities
Participate in Support’s on-call rotation
Ensuring technical customer issues are serviced to contractual SLA, and managed to resolution
Create technical content to capture best practices (e.g. documentation, videos, knowledge base, etc.)
Grow customer relationships, through trusted advice, in the delivery of Roboflow support obligations
Collaborate with Sales, Solutions Architects & Implementation Engineers to ensure continuity across the customer journey
Coordinate with the field and product to inform roadmaps for our customers
Stay current with latest product features and releases
Be an active participant in the evolution of the environment of support (process, tooling, knowledge, etc), cultivating an attitude of continuous improvement
Technical Proficiency
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
Individual Oriented Skills
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
Team Oriented Skills
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
Bonus Skills
Experience of Roboflow Stack
Edge Device & Camera Integration: Experience with connecting and troubleshooting camera-based edge devices (webcams, Nvidia Jetson, Raspberry Pi) and their data streams
Technical Consulting or Solutions Architecture: Prior experience in a Professional Services, Pre-Sales engineering, or Solutions Architecture role, focused on identifying and designing solutions for complex customer challenges and translating them into business value
Articulating Value: Able to connect technical solutions to tangible business value, helping customers see the ROI and the potential for greater impact from Roboflow
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