RZR Tech Stack

AI-powered performance marketing platform for user acquisition, retargeting, and CTV

Advertising Services San Francisco, California 51–200 employees Privately Held

RZR operates a neural-architecture-based performance marketing system processing 6M+ queries per second across owned data centers. The tech stack—Python, C++, Rust, TensorFlow, PyTorch, Kafka, ClickHouse—reflects a machine-learning-first organization built for real-time bidding and model inference at scale. Hiring velocity is accelerating with 43 open roles weighted toward sales (13) and engineering (7), suggesting expansion into new verticals and regions (active hiring across US, India, Philippines, China, UK, South Korea) alongside infrastructure scaling.

Tech Stack 54 technologies

Core StackPython C++ Java Rust Go Apache Spark ClickHouse Prefect TensorFlow PyTorch scikit-learn gRPC Kafka Apache Flink Tableau Jira Confluence BambooHR Lattice HubSpot Looker Kubernetes Docker Terraform Aerospike Sisense Holistics LinkedIn Sales Navigator Sensor Tower Containerd+24 more

What RZR Is Building

◆Challenges

Identifying missing opportunities
Scaling aggressively
Driving revenue retention and growth
Predicting user responses
Forecasting bid landscapes
Detecting fraud
Reducing attrition
Expanding agency footprint
Prevent churn
Improving people operations efficiency

▲Active Projects

Data pipeline development for model training
Training pipelines
Performance management lifecycle implementation
Executive dashboards
Campaign launch and optimisation
China region mobile advertising sales
Tracking protocol execution
Enhancing programmatic demand-side platform
Machine learning model development for programmatic advertising
Integrating models into production workflows

Hiring Activity

Accelerating45 roles · 45 in 30d

Department

Sales

Engineering

Data

Marketing

Design

Executive

Operations

Seniority

Senior

Mid

Junior

Lead

Manager

Notable leadership hires: Chief of Staff, Agency Lead, Learning & Development Lead

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About RZR

RZR is a performance marketing platform that unifies user acquisition, retargeting, and connected-TV campaigns through machine learning. The product runs on proprietary neural architecture designed to optimize ad delivery and predict user response across mobile and CTV channels. Customers span gaming, consumer, retail, food and beverage, and entertainment verticals. The company operates regional sales offices in San Francisco, New York, London, Bangalore, Beijing, Manila, and Seoul, supported by in-house data infrastructure (four owned data centers) and analytics (ClickHouse, Aerospike, Spark) that enable real-time campaign optimization and retention-focused reporting.

HeadquartersSan Francisco, California

Company Size51–200 employees

Hiring MarketsUnited States, India, Philippines, China, United Kingdom, South Korea

Frequently Asked Questions

What technology does RZR use for ad optimization?

RZR uses TensorFlow, PyTorch, and scikit-learn for ML model development, Kafka and Apache Flink for real-time data streaming, ClickHouse and Aerospike for high-throughput data storage, and gRPC for inter-service communication across its platform.

What is RZR's infrastructure scale?

RZR operates four owned-and-operated data centers capable of processing 6M+ queries per second, built on Apache Spark, ClickHouse, Aerospike, and containerized workloads (Kubernetes, Docker) to support real-time bidding and campaign optimization.

How this profile is built

RZR'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.