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Roboflow Tech Stack

Computer vision model training and deployment platform

Software Development Remote 51–200 employees Privately Held
roboflow.com LinkedIn

Roboflow operates a developer-focused SaaS platform for the full computer vision lifecycle—dataset management, annotation, training, and deployment. The tech stack (PyTorch, TensorFlow.js, NVIDIA Jetson, AWS/GCP, Kubernetes) reflects a deep ML infrastructure play. Hiring velocity is accelerating across engineering and sales, with pain points centered on scaling both the sales process and internal recruiting systems—a pattern typical of post-product-fit startups transitioning from engineering-led to sales-led growth.

Tech Stack 34 technologies

Core StackPyTorch AWS Kubernetes Helm Docker Terraform Python Node.js Stripe Salesforce JavaScript Zoom Firebase Zapier BigQuery dbt GCP Bash Spacelift QuickBooks Online Ramp X Twitch Discord GCS TensorFlow.js NVIDIA Jetson OpenAI API PostHog Segment+4 more

What Roboflow Is Building

◆Challenges

  • Scaling core infrastructure
  • Scaling sales process
  • Expanding go-to-market teams
  • Resource constraints
  • Scaling recruiting systems
  • Improving recruiting systems
  • Scaling hiring without sacrificing quality
  • Edge device configuration
  • Data pipeline setup
  • Infrastructure unfamiliarity

▲Active Projects

  • Automation of internal processes
  • Translate research methods into production systems at scale
  • Enterprise jetso improvements
  • Computer vision end-to-end pipeline
  • Ai-driven lead qualification automation
  • Marketing and sales tool integration
  • Bleeding edge product projects
  • Machine learning pipelines
  • Building talent pipelines
  • Creating high-signal interview loops

Hiring Activity

Accelerating55 roles · 30 in 30d

Department

Engineering
24
Sales
10
HR
6
Marketing
4
Finance
3
Support
2
Data
1
Research
1

Seniority

Senior
32
Mid
18
Director
1
Junior
1

Notable leadership hires: Sales Director

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About Roboflow

Roboflow provides end-to-end tooling for building and deploying computer vision applications. The platform handles image dataset management, annotation workflows, preprocessing and augmentation, model training, and API or edge deployment. Over 1 million developers use the product across industries requiring visual recognition. The company operates with 51–200 employees based remotely across the United States. Active projects span core infrastructure scaling, ML pipeline work, and sales automation, alongside talent acquisition and go-to-market expansion.

HeadquartersRemote
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Roboflow use?

PyTorch, TensorFlow.js, AWS, GCP, Kubernetes, Docker, Python, Node.js, NVIDIA Jetson, Stripe, Salesforce, Firebase, BigQuery, and dbt. The stack emphasizes ML frameworks and cloud infrastructure.

What is Roboflow working on?

Current projects include computer vision end-to-end pipelines, machine learning pipeline work, infrastructure scaling, enterprise product improvements, sales process automation, and talent pipeline building.

How this profile is built

Roboflow's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.