
Job Overview
Location
NY, SF or Remote (US)
Job Type
Full-time
Category
Sales
Date Posted
April 11, 2026
Full Job Description
đź“‹ Description
- • As a Strategic Account Executive at Roboflow, you will own and grow a small number of the company’s most important customers while initiating relationships with new prospective clients, focusing on high-leverage, high-context deals that define the company’s trajectory rather than volume-driven sales.
- • You will build deep, multi-threaded relationships across engineering, product, and executive stakeholders, identify and drive new use cases from pilot to full production, lead complex technical sales cycles, and partner with Field Engineering and Product to shape solutions and unblock deals.
- • You will develop and execute long-term account expansion plans, navigate enterprise procurement, security, and legal processes, act as the voice of the customer to influence product and go-to-market strategy, and help define how Roboflow sells to strategic customers.
- • Roboflow is building the tools to make the world programmable with AI, simplifying computer vision model development and deployment for over 1M+ developers, including half the Fortune 100, with applications ranging from cancer research to coral reef restoration. The company is backed by top investors like Y Combinator, Google Ventures, and Sam Altman, and fosters a culture of ownership, accountability, bias toward action, and founder-minded autonomy.
- • In this role, you will learn to navigate complex enterprise sales, deepen your technical fluency in AI/ML and developer tools, shape product strategy through customer insights, and achieve mastery in consultative, high-touch sales that drive measurable business outcomes for visionary clients.
Skills & Technologies
About Roboflow, Inc.
Roboflow provides a cloud-based platform for computer vision teams to manage datasets, annotate images and video, train custom models, and deploy them to edge devices and production APIs. The service automates data preprocessing, augmentation, version control, and performance monitoring across YOLO, TensorFlow, PyTorch, and other frameworks, enabling developers and enterprises to accelerate vision projects from prototype to scalable applications without building infrastructure from scratch.
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