Scribe Tech Stack

AI context layer that captures and optimizes business processes

Software Development San Francisco, CA 51–200 employees Founded 2019 Privately Held

Scribe captures how work actually happens across organizations and surfaces that context to AI agents and teams. The stack—Django, React, Next.js, PostgreSQL, Snowflake, dbt, Kafka, PyTorch—reflects a data-heavy, real-time architecture built for scale; the company is actively adopting OpenAI while tackling large-scale data ingestion and platform stability challenges. Sales and engineering hiring is accelerating together, paired with GTM investment (territory models, outbound automation, measurement frameworks), signaling a shift from product-led to sales-led growth targeting enterprise expansion.

Tech Stack 48 technologies

Core StackDjango React Next.js TypeScript Mixpanel Cursor Snowflake dbt PostgreSQL AWS Python Redis Celery Terraform Salesforce Gong Stripe OpenAI Go RabbitMQ Kafka PyTorch Sigma Computing Django REST Framework AWS SQS macOS Chrome Edge X Stylus+18 more

AdoptingOpenAI

What Scribe Is Building

◆Challenges

Performance and scalability
Hardening billing platform
Inefficient enrichment workflows
Expansion of enterprise customers
Adoption and renewal of enterprise saas
Large-scale data ingestion
Overburdened managers
Scaling data analytics teams
Maintaining core platform stability
Scaling ai-driven product

▲Active Projects

Rebuilt territory model with icp segmentation
Signal-driven outbound automation engine
Measurement framework connecting gtm plays to arr
Product growth experiments across acquisition, onboarding, expansion, pricing, usage journeys
Field events and executive roundtables
Reference stories
Enablement programs
Success playbooks
Large-scale data ingestion and processing systems
Building semantic metrics layer

Hiring Activity

Accelerating40 roles · 25 in 30d

Department

Engineering

Sales

Marketing

Support

Finance

Product

Data

Seniority

Senior

Staff

Junior

Director

Lead

Manager

Mid

Notable leadership hires: Head of Data

Company intelligence

Find more companies like Scribe by tech stack, pain points and active projects

Get started free

About Scribe

Scribe is a San Francisco-based workflow intelligence platform that captures how business processes actually execute, then optimizes them for both human teams and AI agents. Founded in 2019, the company operates at mid-market to enterprise scale, trusted by a stated 94% of Fortune 500 companies. The product sits at the intersection of process documentation, workflow context, and AI enablement—solving the problem that most operational knowledge remains undocumented and inaccessible. The engineering and sales teams are actively scaling to support enterprise adoption and renewal cycles, while building out data infrastructure to handle large-scale ingestion and semantic metrics.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2019

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Scribe use?

Scribe's stack spans Django and React/Next.js on the frontend, PostgreSQL and Snowflake for data storage, dbt for transformation, Kafka for streaming, and PyTorch for ML workloads. They use OpenAI for AI capabilities, Mixpanel for analytics, and AWS for infrastructure.

What is Scribe working on?

Key projects include signal-driven outbound automation, territory segmentation with ICP targeting, a measurement framework connecting GTM efforts to ARR, and large-scale data ingestion and semantic metrics infrastructure to support AI-driven product scaling.

How this profile is built

Scribe'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.