Braze Tech Stack

Cross-channel customer engagement platform with AI-powered orchestration

Software Development New York, New York 1,001–5,000 employees Founded 2011 Public Company

Braze operates a multi-channel marketing automation platform built on a modern data stack (dbt, Snowflake, Kafka, Apache Airflow) with heavy ML investment (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Active work on reinforcement learning pipelines and an AI decision studio signals a shift toward algorithmic optimization in campaign orchestration. Sales hiring dominates the organization (114 roles), but the pain-point pattern—scaling data pipelines, backend performance, and operational safety of large-scale processing—suggests infrastructure constraints limiting go-to-market velocity.

Tech Stack 106 technologies

Core Stackdbt Snowflake Python Java Apache Airflow Salesforce Kafka RabbitMQ Ruby on Rails Django React Looker Tableau MongoDB Redis Kubernetes AWS Pandas TensorFlow scikit-learn Terraform SQL LinkedIn Sidekiq AWS SQS Excel Keras CatBoost XGBoost GCP+73 more

AdoptingReact AWS Kubernetes Helm Terraform AWS WAF iPaaS GCP

What Braze Is Building

◆Challenges

Improving reliability and performance
Improving automation infrastructure reliability
Optimizing backend performance
Driving account growth and retention
Improving architecture
Feature adoption challenges
Scaling data pipelines
Operational inefficiencies
Operational safety of large-scale processing
Scaling massive background processing

▲Active Projects

Develop reusable data pipelines and apis
Refining reinforcement learning algorithms
Feature adoption
Whitespace mapping
Reinforcement learning pipeline development
Shape offerfit product strategy
Improving architecture and developing reusable data pipelines
Account expansion deals
Braze ai decision studio proofs of value (pov) motion
Internal software frameworks for asynchronous background processing

Hiring Activity

Steady320 roles · 120 in 30d

Department

Sales

114

Engineering

Support

Data

Product

Design

Finance

Seniority

Senior

202

Mid

Director

Manager

Lead

Junior

Principal

Staff

Notable leadership hires: Sales Director, Equity Management Director

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About Braze

Braze is a public customer engagement platform that enables marketing teams to orchestrate multi-channel campaigns (email, mobile, web, social) at scale. The product centers on journey orchestration, cross-channel messaging, and experimentation, with a growing AI/ML layer for predictive optimization. The company operates across 15 offices in North America, Latin America, Europe, and Asia-Pacific, serving mid-market and enterprise brands. Engineering and data teams support both product development and internal infrastructure, which faces active scaling challenges around pipeline reliability and asynchronous background processing at high volume.

HeadquartersNew York, New York

Company Size1,001–5,000 employees

Founded2011

Hiring MarketsUnited States, United Kingdom, Australia, Canada, France, Brazil, Romania, Japan

Frequently Asked Questions

What tech stack does Braze use?

Core: dbt, Snowflake, Python, SQL, Kafka, Apache Airflow, Salesforce. ML/data science: TensorFlow, Keras, scikit-learn, CatBoost, XGBoost. Infrastructure: Kubernetes, AWS, GCP, Terraform. Web: React, Django, Ruby on Rails.

What is Braze working on?

Focus areas include reinforcement learning pipeline development, Braze AI Decision Studio, feature adoption improvements, reusable data pipeline architecture, and scaling asynchronous background processing infrastructure.