GrowthBook Tech Stack

Open-source feature flagging and A/B testing platform with warehouse-native data

Technology, Information and Internet Palo Alto, California 11–50 employees Founded 2020 Privately Held

GrowthBook operates a warehouse-native experimentation platform where feature flags and A/B tests run directly against your existing SQL data sources (Snowflake, BigQuery, Databricks, Presto, PostgreSQL). The tech stack reveals a data-first architecture: heavy investment in warehouse integrations, modern SDKs (TypeScript, React, Node.js, Python, Go, Java), and statistical tooling. Hiring distribution is heavily skewed toward support (10 open roles) relative to engineering (2), with pain points clustering around documentation gaps and APAC support expansion—indicating a product-market fit problem in adoption/onboarding rather than core build.

Tech Stack 17 technologies

Core StackSnowflake BigQuery Databricks TypeScript React Node.js Python Go Java HubSpot Salesforce PostgreSQL Datadog Slack Presto SQL

What GrowthBook Is Building

◆Challenges

Inadequate documentation for diverse tech stacks
Expanding support coverage
Multiple experimentation needs
Support response delays
Expanding support team in apac
Converting free users to subscribers
Documentation gaps
Generating qualified enterprise pipeline
Scaling go-to-market efforts
Scaling awareness and pipeline

▲Active Projects

Bug triage process improvement
Documentation site improvement
Pioneer answer engine optimization tactics
Build ai-powered demand engine
Documentation site content creation
Summary of the state of experimentation on growthbook
Building a library of successful experiments
Product demos for technical audiences
Architect integrated marketing programs
Streaming features service

Hiring Activity

Minimal20 roles · 2 in 30d

Department

Support

Data

Engineering

Marketing

Sales

Seniority

Senior

Mid

Director

Staff

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About GrowthBook

GrowthBook provides open-source feature flagging and experimentation infrastructure for engineering teams. The platform integrates directly with existing data warehouses and analytics sources, eliminating the need to build custom release and testing systems in-house. Users design experiments and flags in a common metric store (SQL or YML), run tests across web, mobile, ML, and email channels, and export results as SQL or Jupyter notebooks. Data stays within your infrastructure—GrowthBook can be self-hosted. The company was founded in 2020 and is based in Palo Alto with a global team distributed across North America, Latin America, and Asia-Pacific.

HeadquartersPalo Alto, California

Company Size11–50 employees

Founded2020

Hiring MarketsUnited States, Mexico, Indonesia, Japan, Australia, Malaysia, Philippines, Vietnam

Frequently Asked Questions

What data warehouses does GrowthBook integrate with?

GrowthBook connects to Snowflake, BigQuery, Databricks, Presto, and PostgreSQL, plus Google Analytics and Mixpanel. It's warehouse-native, meaning experiments run queries directly against your existing SQL data sources.

Is GrowthBook open source?

Yes. GrowthBook is an open-source feature flagging and A/B testing platform. Users can self-host or use the managed offering. Data remains in your own infrastructure.