Solutions Architect

Who We Are

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.

We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.

Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment.

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**What You’ll Do:

As a highly skilled and customer-focused Solutions Architect, you will play a critical role in working alongside our sales team to engage prospects, qualify opportunities, and design edge-based computer vision solutions. As the primary technical resource in the pre-sales phase, the Solutions Architect will help identify prospective client needs, define technical requirements, and create compelling, scalable solutions that leverage our cutting-edge computer vision platform.

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.

• Technical 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.