RTB House Tech Stack

Deep learning DSP for performance-driven programmatic advertising across 90+ markets

Technology, Information and Internet Warsaw, Poland 1,001–5,000 employees Founded 2012 Privately Held

RTB House operates a deep learning-powered demand-side platform (DSP) built on Python, C++, Java, and PyTorch/TensorFlow, serving ecommerce and performance-marketing use cases globally. The hiring mix is heavily sales-weighted (41 sales roles vs. 25 engineering), indicating a scaling GTM motion, while active projects reveal internal infrastructure strain: bidding systems, ad-campaign management tooling, ML training performance, and cloud infrastructure hardening dominate the backlog. Pain points around campaign launch issues, ML training bottlenecks, and client churn suggest the engineering team is balancing feature velocity with reliability.

Tech Stack 109 technologies

Core StackPython C++ Java Scala Linux PyTorch TensorFlow Hadoop Kafka Apache Spark Apache Flink NumPy Pandas Adobe Creative Cloud JavaScript After Effects Adobe Premiere Pro Kubernetes Prometheus BigQuery Storm GCP Jupyter LinkedIn Photoshop HTML5 CSS Adobe Animate Aerospike Memcached+76 more

AdoptingSlack Terraform Google Workspace GCP

ReplacingGCP

What RTB House Is Building

◆Challenges

Optimizing system performance
Campaign launch technical issues
Bidding in first-price auctions
Performance bottlenecks in ml training platform
High performance scalability observability
Campaign margin optimization
Integration issues
Monitoring inventory quality
Improving sales processes
High client churn

▲Active Projects

Secure cloud infrastructure
Company-wide or local projects in account management
Bidding infrastructure
Internal web applications for ad campaigns management
Jobs and processes integrating internal services at scale
Internal python libraries and frameworks
System changes for high performance scalability observability for ad display
Extreme performance and high code quality projects
Pilot/test campaigns for inventory teams
Campaign launch and optimization

Hiring Activity

Accelerating110 roles · 45 in 30d

Department

Sales

Engineering

Support

Marketing

Ops

Finance

Data

Seniority

Mid

Senior

Director

Manager

Junior

Lead

Staff

Notable leadership hires: Account Director, Account Management Lead

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About RTB House

RTB House is a privately held performance DSP founded in 2012, now operating across 90+ markets with 1,001–5,000 employees headquartered in Warsaw. The platform uses proprietary deep learning algorithms to optimize ad spend across the purchase funnel—retargeting, customer acquisition, engagement, and demand generation—for global ecommerce and performance-marketing brands. The company has built a distributed real-time bidding infrastructure on Kafka, Storm, Apache Spark/Flink, and Hadoop, with ML models trained on PyTorch/TensorFlow and served via Aerospike and Memcached. GTM is expanding rapidly: 47 roles posted in the last 30 days across 19 countries, with account management and sales leadership as key hire priorities.

HeadquartersWarsaw, Poland

Company Size1,001–5,000 employees

Founded2012

Hiring MarketsPoland, Japan, United Kingdom, Turkey, United States, Italy, Mexico, France

Frequently Asked Questions

What technology does RTB House use for machine learning?

RTB House builds on PyTorch and TensorFlow for deep learning model training, with Python as the primary language. NumPy, Pandas, and Jupyter support data work. The company also uses Hadoop and Apache Spark for large-scale data processing.

What countries is RTB House hiring in?

RTB House is actively recruiting across 19 countries: Poland, Japan, United Kingdom, Turkey, United States, Italy, Mexico, France, Argentina, South Korea, Brazil, China, Germany, Cyprus, Taiwan, Singapore, Israel, United Arab Emirates, and Sweden.