Solutions Architect

Role and Responsibilities

• Opportunity Qualification: Collaborate with sales representatives to assess the technical feasibility and compatibility of potential projects with our computer vision solutions. Act as a trusted advisor to clients, understanding their business objectives, technical constraints, and use cases.
• Solution Design: Design tailored solutions that meet customer requirements by selecting and integrating appropriate components across hardware, software, and edge deployment configurations. Ensure that solutions are scalable, secure, and aligned with industry best practices for computer vision.
• Tech Expertise: Maintain an in-depth knowledge of our computer vision platform, including its technical specifications, deployment methodologies, and customization options. Provide guidance on edge deployments, data handling, model inference, and integrations with client infrastructure.
• Demo and Proof of Concept (POC): Lead technical demonstrations and POCs to showcase product capabilities and benefits. This includes configuring demo environments, guiding clients through the technology, and troubleshooting any technical issues.
• Customer Engagement: Act as a primary point of contact for technical discussions, addressing client inquiries about the product’s architecture, APIs, security, scalability, and deployment scenarios.
• Collaboration: Work closely with Product and Engineering teams to provide customer feedback, identify product improvements, and advocate for features that would enhance our solution’s ability to meet client needs.

The Skillset You’ll Bring

• Experience in solutions architecture, technical sales engineering, or related role, preferably in a computer vision, AI, or IoT-focused company.
• Industry experience working directly in or with one or more of Roboflow’s target markets, including but not limited to manufacturing, automotive, logistics, food processing, retail.
• Expertise in designing edge-based solutions and understanding of the unique constraints and challenges associated with edge computing.
• Excellent communication and presentation skills with the ability to translate complex technical concepts into clear, business-oriented solutions for non-technical stakeholders.
• Strong knowledge of computer vision, machine learning, and associated technologies.
• Experience with cloud and edge infrastructure, ideally including AWS, Azure IoT, or other edge platforms.
• Proficiency in scripting or programming languages like Python and JavaScript.
• Willingness to travel ~40%.

Preferred Attributes

• Experience working within a pre-sales or go-to-market team.
• Familiarity with common data processing and computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Strong problem-solving skills with a customer-centric approach and the ability to think on your feet.