Solutions Architect
Design and demonstrate scalable edge-based computer vision solutions while partnering with sales and customers throughout the presales process. Requires solutions architecture or technical sales experience, strong computer vision and machine learning knowledge, and proficiency in Python or JavaScript.
About the job
Responsibilities
- Partner with sales representatives to qualify opportunities and assess the technical feasibility of computer vision projects.
- Serve as a trusted technical advisor, understanding customer objectives, constraints, and use cases.
- Design scalable, secure solutions integrating hardware, software, and edge deployment components.
- Advise on edge deployments, data handling, model inference, and integrations with customer infrastructure.
- Lead technical demonstrations and proofs of concept, including environment configuration, customer guidance, and troubleshooting.
- Address technical questions about architecture, APIs, security, scalability, and deployment scenarios.
- Collaborate with Product and Engineering to communicate customer feedback and advocate for product improvements.
Requirements
- Experience in solutions architecture, technical sales engineering, or a related role, preferably in computer vision, AI, or IoT.
- Experience with one or more target industries such as manufacturing, automotive, logistics, food processing, or retail.
- Expertise designing edge-based solutions and understanding edge-computing constraints.
- Strong knowledge of computer vision, machine learning, and related technologies.
- Experience with cloud and edge infrastructure, ideally AWS, Azure IoT, or other edge platforms.
- Proficiency in Python or JavaScript.
- Excellent communication and presentation skills, including the ability to explain complex technical concepts to nontechnical stakeholders.
- Willingness to travel approximately 40%.
Nice-to-haves
- Experience working within a presales or go-to-market team.
- Familiarity with OpenCV, TensorFlow, or PyTorch.
- Strong problem-solving skills and a customer-centric approach.
Compensation and Benefits
- Target OTE of $170,000–$240,000.
- $4,000 annual travel stipend.
- $350 monthly productivity stipend.
- $350 monthly AI tools stipend.
- $150 monthly team lunch stipend.
- $500 one-time home-office stipend.
- Health insurance coverage of up to 100% for employees and their partners or families.
- Equity in the company.
Skills
Solutions Architecture, Computer Vision, Machine Learning, Edge Computing, AWS, Azure Iot, Python, JavaScript, Opencv, TensorFlow, PyTorch, Cloud Infrastructure, APIs
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