Imagen Tech Stack

AI-powered photo editing and culling platform for professional photographers

Software Development Tel aviv 51–200 employees Founded 2020 Privately Held

Imagen builds an AI-driven post-production platform for photographers, combining culling, editing, and cloud storage. The stack—PyTorch, TensorFlow, dbt, SQL, Python—reflects a data and ML-heavy organization focused on computer vision. Current hiring skews engineering (8 roles), with active work on production deep-learning algorithms and infrastructure scaling, suggesting the company is moving beyond initial product-market fit into reliability and velocity challenges.

Tech Stack 26 technologies

Core StackHubSpot dbt Python pandas scikit-learn Stripe Scala Go Java AWS PyTorch TensorFlow Docker Kubernetes TypeScript Meta Google TikTok SQL PayPal GCP Azure MXNet CI/CD HTML CSS

What Imagen Is Building

◆Challenges

Scaling user base
Scalability and reliability
Critical infrastructure initiatives
Removing bottlenecks to improve development velocity
Scaling engineering organization
Brand awareness to measurable impact
User engagement and revenue growth
Reducing editing painstaking work
Workflow optimization

▲Active Projects

Develop production-ready deep learning algorithms for computer vision
Create proofs of concept for new products and technology
Growth initiatives across acquisition channels
Rapid experiments and a/b testing
Ai-driven ideation and automation
Etl flows via sql (dbt)
Bi dashboards for internal teams
Critical infrastructure initiatives
Payment infrastructure evolution
Scalability and reliability improvements

Hiring Activity

Steady15 roles · 6 in 30d

Department

Engineering

Marketing

Data

Sales

Seniority

Mid

Lead

Senior

Director

Notable leadership hires: Head of Engineering

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About Imagen

Imagen offers a cloud-based post-production suite targeting professional photographers. The product centers on three components: AI-assisted culling to filter shots, precise editing tools, and secure cloud storage. Founded in 2020 and based in Tel Aviv, the company operates at 51–200 employees, with engineering as the dominant function. Recent project work spans production computer-vision algorithms, ETL infrastructure via dbt, and internal analytics dashboards. Key friction points are scaling the user base, maintaining platform reliability under growth, and reducing the manual effort still required in photo workflows.

HeadquartersTel aviv

Company Size51–200 employees

Founded2020

Hiring MarketsIsrael

Frequently Asked Questions

What tech stack does Imagen use?

ML frameworks (PyTorch, TensorFlow, MXNet), Python/pandas/scikit-learn, SQL, dbt, Go, Scala, Java, TypeScript, Docker, Kubernetes, AWS/GCP/Azure, CI/CD, plus Stripe and PayPal for payments.

What is Imagen working on?

Production deep-learning algorithms for computer vision, payment infrastructure evolution, ETL pipelines via dbt, BI dashboards, scalability improvements, and A/B testing for growth initiatives.