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Roboflow
Marketing & Sales 3d ago

Head of Partnerships

Roboflow
United StatesUnited States
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

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Sales RepresentativeLead GenerationStrategic PartnershipsGo-To-Market StrategyB2B Development

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About Roboflow

Roboflow is on a mission to give software the sense of sight. Our platform makes it easier for developers and organizations to build, deploy, and manage computer vision applications. Over 1 million developers have used Roboflow, with customers ranging from startups to global enterprises.

As computer vision transitions from experimentation to production, the ecosystem around Roboflow is becoming increasingly critical. Customers don’t deploy computer vision in isolation—they rely on consulting partners, software platforms, and hardware integrations to bring solutions to life.

The role of Head of Partnerships is to build this ecosystem, helping Roboflow reach more customers and accelerate the adoption of computer vision applications.

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Roboflow is a pioneering artificial intelligence company that provides a comprehensive, end-to-end platform for building, training, and deploying computer vision models. Founded in 2019 by Joseph Nelson and Brad Dwyer, the company is on a mission to democratize visual intelligence, allowing any developer to give their software the sense of sight. Under the hood, Roboflow offers a massive suite of developer-first tools—including AI-assisted image annotation, dataset management, automated preprocessing, one-click model training, and highly scalable cloud or edge deployment via API. Their primary target audience spans over a million individual software engineers, machine learning researchers, and massive Fortune 100 enterprises across industries like manufacturing, logistics, and healthcare who need to automate complex visual tasks such as defect detection and inventory tracking. What sets Roboflow apart in the rapidly evolving AI landscape is its incredibly vibrant open-source ecosystem, its low-code interface that drastically reduces the friction of model training, and its ability to seamlessly bridge the gap between raw image data and production-ready visual AI applications.

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