AI workflow-capture platform giving teams and agents process context
Scribe captures how work actually gets done inside organizations and turns it into context for employees and AI agents. The stack pairs a Python/Django and Celery backend on AWS with a React/TypeScript front end, plus Snowflake, dbt, BigQuery and Redshift for analytics. A sales-heavy, senior-skewed hiring push focused on enterprise account expansion, alongside data-tier reliability work at multi-million-DAU scale, points to a shift from product-led growth toward enterprise selling.
Scribe is a privately held software company founded in 2019 and headquartered in San Francisco, CA. It builds a platform that documents how a business operates, giving human teams and AI agents the process context they need. The company employs 51–200 people and hires in the United States and Serbia. Its go-to-market targets large, complex organizations, with dedicated programs for account expansion, onboarding and enablement. Product lines include Scribe Optimize, which the company is actively driving adoption of.
Scribe runs React, TypeScript and Next.js on the front end, Python, Django, Celery and PostgreSQL on the backend, AWS with Terraform for infrastructure, and Snowflake, dbt and BigQuery for data.
Yes. Sales is Scribe's largest hiring area, followed closely by engineering, with hiring velocity accelerating and a tilt toward senior roles in the United States and Serbia.
Scribe is driving Scribe Optimize adoption, evolving a CDC data pipeline, migrating legacy components, and expanding within large enterprise accounts through account and territory planning.
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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.