Roboflow
- Robot type
- Robotics
- Location
- USA
- Job type
- Customer Success
- Posted
- Sep 3, 2026
- Salary
- $170,000–$240,000 a year
Full-time
Solutions Architect
Job description
At Roboflow, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.
Job responsibilities
- Opportunity Qualification: Collaborate with sales representatives to assess the technical feasibility and compatibility of potential projects with our computer vision solutions.
- Solution Design: Design tailored solutions that meet customer requirements by selecting and integrating appropriate components across hardware, software, and edge deployment configurations.
- Technical Expertise: Maintain an in-depth knowledge of our computer vision platform, including its technical specifications, deployment methodologies, and customization options.
- Demo and Proof of Concept (POC): Lead technical demonstrations and POCs to showcase product capabilities and benefits.
- 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.
Job requirements
- 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%
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