Descript Tech Stack

AI-powered video editor for creators and teams using text-based workflows

Software Development San Francisco, CA 51–200 employees Founded 2017 Privately Held

Descript is a video creation platform built on a text-first editing model, powered by proprietary AI and third-party model integrations. The tech stack reveals deep ML infrastructure: PyTorch, TensorFlow, CUDA for model training; Apache Spark, Dask, and Kubernetes for distributed processing; plus PostgreSQL and Redis for stateful operations. Active hiring skews heavily toward engineering and product (14 of 22 roles), with seniority concentrated at senior/director level—consistent with their stated focus on scaling agent infrastructure, optimizing model inference, and productionizing first-party models. No adopting or replacing signals suggest stable foundational tech.

Tech Stack 45 technologies

Core StackApache Spark AWS Docker Kubernetes Python PyTorch TensorFlow TypeScript React PostgreSQL Redis n8n Terraform NetSuite Salesforce Contentful Apache Flume Dask GCP Azure C/C++ CUDA Cargo Navan Chrome DevTools React DevTools Apollo LinkedIn Sales Navigator Builder.io Webflow+15 more

What Descript Is Building

◆Challenges

Scaling agent infrastructure
Improving accuracy of financial operations
Improving research tools and systems
Integrating third-party ai models
Integrating ai models into product
Balancing research investment vs feature work
Productionizing 1p models
Expanding to b2b
Scaling pipeline generation
Scaling for larger teams

▲Active Projects

Agent infrastructure scaling
Build scalable cs programs
Third-party model integrations
Ai infrastructure for ml lifecycle
Model inference optimization
Timeline editing and effects
Ai audio integration
Team media management
Ai research and enablement roadmap
Mlops infrastructure

Hiring Activity

Steady20 roles · 8 in 30d

Department

Engineering

Product

Sales

Finance

Customer-Success

Marketing

Seniority

Senior

Director

Lead

Manager

Mid

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About Descript

Descript enables creators, businesses, and teams to produce video, podcasts, and social clips through a text-based editor paired with AI assistance. The product removes technical barriers by applying familiar text-editing metaphors to video workflows, supported by an AI co-editor that can generate, edit, and design video from descriptions. The platform serves a broad audience—7 million+ reported users across creator and prosumer segments—and is expanding into B2B use cases. Company operates from San Francisco with 51–200 employees, hiring in the United States and Canada.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States, Canada

Frequently Asked Questions

What AI models and infrastructure does Descript use?

PyTorch, TensorFlow, and CUDA power model training; Apache Spark and Dask handle distributed processing. Active projects include third-party model integrations, model inference optimization, and productionizing first-party models across an MLOps infrastructure.

What is Descript working on?

Core focus areas: agent infrastructure scaling, AI audio integration, timeline editing and effects, team media management, and third-party AI model integrations. Infrastructure priorities include MLOps, model inference optimization, and scaling pipeline generation for larger teams.

How this profile is built

Descript'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.