Roboflow Tech Stack

Computer vision model training and deployment platform for developers

Software Development Remote 51–200 employees Privately Held

Roboflow serves over 1 million developers building computer vision applications, offering an end-to-end pipeline from dataset management through model training to edge deployment. The stack reveals a dual-track infrastructure play: PyTorch + TensorFlow.js for model work alongside Kubernetes + Docker + AWS/GCP for production scaling, while recent ChatGPT adoption hints at AI-assisted annotation or code generation. Pain points cluster around sales scaling and developer-community growth rather than core product gaps, suggesting Roboflow has product-market fit but is actively shifting from engineering-led to sales-led motion.

Tech Stack 33 technologies

Core StackJavaScript Node.js Kubernetes GitHub Zoom PyTorch AWS Helm Docker Terraform Python GitHub Actions Firebase Linux Stripe Salesforce BigQuery ChatGPT X LinkedIn Twitch Discord GCP Bash Spacelift GCS TensorFlow.js NVIDIA Jetson QuickBooks Online Ramp+2 more

AdoptingChatGPT

What Roboflow Is Building

◆Challenges

Establishing devrel function
Technical sales process
Expanding enterprise partnerships
Scaling sales process
Maintaining security while scaling velocity
Increasing developer adoption
Scaling developer community
Improving sales processes
Securing and scaling infrastructure
Enterprise platform improvement

▲Active Projects

Enterprise jetso improvements
Computer vision end-to-end pipeline
Improve bleeding edge of main product
Computer vision project with roboflow
Build a computer vision product
Automating internal processes
Design and deliver advanced solutions that generate predictions from a wide range of computer vision models across diverse deployment environments
Tools and integrations development
Project delivery of customized solutions
New features in roboflow product

Hiring Activity

Decelerating40 roles · 6 in 30d

Department

Engineering

Sales

Support

Marketing

Data

Finance

Security

Seniority

Mid

Senior

Director

Junior

Lead

Notable leadership hires: Creative Director, Sales Director

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About Roboflow

Roboflow builds a web-based platform for computer vision workflows, enabling developers to manage image datasets, annotate and label data, apply preprocessing and augmentation, train models with one-click, and deploy via API or edge devices like NVIDIA Jetson hardware. The product addresses the operational friction in CV pipelines—data curation, format conversion, training orchestration—rather than the modeling layer itself. With 51–200 employees and engineering-heavy hiring (21 of 41 open roles), Roboflow operates as a developer-tools company selling upmarket: active projects span enterprise solution delivery and custom integrations, while pain points underscore focus on sales process maturity and enterprise partnerships.

HeadquartersRemote

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What is Roboflow used for?

Roboflow is a platform for building computer vision applications. Developers use it to manage image datasets, annotate and label data, apply preprocessing and augmentation, train models in one-click, and deploy to APIs or edge devices. Over 1 million engineers actively use the platform.

What tech stack does Roboflow use?

Roboflow's stack includes PyTorch and TensorFlow.js for model training, Kubernetes and Docker for orchestration, AWS and GCP for cloud infrastructure, and NVIDIA Jetson for edge deployment. The company recently adopted ChatGPT and uses GitHub, GitHub Actions, and Terraform for development workflows.