Treasure Data Tech Stack

AI-powered customer data platform for personalized marketing at scale

Software Development Mountain View, California 501–1,000 employees Founded 2011 Privately Held

Treasure Data operates an AI Marketing Cloud built on React, TypeScript, Rails, and AWS, with active R&D in generative AI feature development and a personalization engine. The tech stack reveals a modern frontend-heavy architecture (React Query, Redux, GraphQL) layered over data infrastructure (Trino, DynamoDB, Kubernetes), now adopting Hive and Hadoop to expand processing capacity. Hiring is accelerating across engineering and marketing (46 of 88 open roles), signaling both product expansion and sales-motion intensification as the company addresses customer churn and pipeline-generation challenges.

Tech Stack 71 technologies

Core StackReact TypeScript GraphQL Ruby on Rails Kotlin AWS Lambda DynamoDB AWS Gainsight Trino Figma OpenAI JavaScript Kubernetes Ruby Anthropic Jira Confluence Slack Python Redux Toolkit React Query TanStack REST HTTP MemoryDB Claude Google Gemini AWS ECS SQL+37 more

AdoptingHadoop Hive

What Treasure Data Is Building

◆Challenges

Customer churn
Maximizing roi
Cost efficiencies
Scaling marketing operations
Complex technical challenges
Predictable pipeline generation
Optimizing marketing systems
Closing deals
Customer objections
Content strategy strengthening

▲Active Projects

Personalization and realtime engine
Generative ai solutions for new and existing features within the treasure data platform
Cdp maturity assessments
Proof of concept engagements
Design system
Ai marketing cloud
New features, workflows, and experience updates launch
Generative ai feature development for treasure data platform
Cdp implementation project
R&d initiative

Hiring Activity

Accelerating90 roles · 40 in 30d

Department

Engineering

Marketing

Sales

Support

Design

Data

Ops

Finance

Seniority

Senior

Manager

Mid

Staff

Junior

Director

Principal

Notable leadership hires: Account Director

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About Treasure Data

Treasure Data builds an Intelligent CDP and AI Marketing Cloud designed to help enterprise brands centralize customer data and deliver hyper-personalized experiences. The platform combines three layers: a data acquisition and processing foundation (Customer Data Platform), real-time decisioning powered by AI agents, and activation workflows for marketing teams. The company sells to global brands across retail, finance, and media verticals. Active projects include personalization and real-time engagement engines, proof-of-concept implementations, and CDP maturity assessments, indicating a consultative go-to-market model alongside self-serve adoption.

HeadquartersMountain View, California

Company Size501–1,000 employees

Founded2011

Hiring MarketsJapan, United Kingdom, United States, France, Canada, India

Frequently Asked Questions

What technology does Treasure Data use?

Frontend: React, TypeScript, Redux, React Query, GraphQL. Backend: Ruby on Rails, Kotlin, Python. Data: AWS (Lambda, DynamoDB, ECS, MemoryDB), Trino, Hive. AI: OpenAI, Claude, Google Gemini. Adopting Hive and Hadoop for distributed processing.

What is Treasure Data building?

Personalization and real-time engagement engines, generative AI feature development, an AI Marketing Cloud platform, design system updates, and CDP maturity assessments and implementations for enterprise customers.