LiveRamp Tech Stack
Data collaboration platform for identity, privacy, and first-party data activation
LiveRamp operates a data collaboration platform connecting hundreds of brands, retailers, banks, and tech companies around identity resolution, customer data activation, and compliance. The tech stack spans Go, Java, Kubernetes, Spark, Snowflake, and Databricks—classic big-data infrastructure—now adopting Parquet, Vertex AI, and Gemini to layer in ML-driven identity and LLM-based agents. Engineering hiring (53 roles, mostly senior/staff level) outpaces sales (32) and data (14), reflecting active buildout on deep learning for identity graphs, distributed systems for near real-time processing, and a data marketplace, while security automation and SIEM threat detection signal defensive maturity in a compliance-heavy vertical.
Tech Stack 103 technologies
What LiveRamp Is Building
◆Challenges
- Compliance and privacy requirements
- Migrating complex use cases
- Remediating security weaknesses across saas platform
- Improving operational efficiency of the legal team
- Customer adoption
- Evolving data privacy regulations
- Brand trust protection
- Process improvements automation optimization within onestream
- Maintaining legacy onestream estate
- Reducing alert fatigue
▲Active Projects
- Deep learning model integration for identity graph
- Renewal strategy and forecasting
- Security automation framework
- Siem threat detection strategy
- Red team exercises
- Distributed data systems for near real-time processing
- Advanced llm-based agent development
- Cross-team data flows
- Platform update rollout
- Build the world's most valuable data marketplace
Hiring Activity
Department
Seniority
Notable leadership hires: Sales Director, Account Director, Technical Lead Manager, Director CTV Social Media, Head of Publishers
