Reltio Tech Stack

Master data management platform with AI-native data unification

Software Development Redwood Shores, CA 201–500 employees Founded 2011 Privately Held

Reltio operates a cloud-native master data management platform built on graph technology, now actively integrating large language models (OpenAI, Mistral, Claude, LLaMA) into core workflows. The tech stack spans AWS, Azure, GCP, Kafka, and data warehouses (Snowflake, BigQuery, Databricks, Redshift), with active engineering around agentic AI systems and RAG pipelines. Hiring velocity is accelerating across engineering and sales, with 70 open roles and a senior-heavy mix, signaling expansion into AI-driven data operations.

Tech Stack 42 technologies

Core StackAWS Lambda AWS Kubernetes Snowflake BigQuery Databricks Redshift dbt Kafka Salesforce Dynamics 365 Python React Node.js Java OpenAI JavaScript Azure GCP Reltio Data Cloud Mistral Claude LLaMA LangGraph Crew AI AutoGen HTML5 CSS SAST DAST+11 more

AdoptingOpenAI Mistral Claude LLaMA

What Reltio Is Building

◆Challenges

Protecting customer data
Siloed data
Customer adoption and retention
Data unification challenges
Complex technical issues
Mitigating risk
Anomaly detection
Entity resolution
Maintaining system health
Compliance with security standards

▲Active Projects

Mdm platform core component development
Llm-based agentic workflows
Customized mdm framework design
Ai/ml models for data management challenges
Enterprise-grade agentic systems
Partner-led implementation of reltio mdm solutions
Rag pipelines
Key initiatives of the devops/release team
Training programs for technical and customer engagement
Ai enablement for enterprise customers

Hiring Activity

Accelerating70 roles · 30 in 30d

Department

Engineering

Sales

Security

Support

Marketing

Data

Consulting

Seniority

Senior

Mid

Manager

Staff

Director

Junior

Lead

Principal

Notable leadership hires: Marketing Enablement Director

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About Reltio

Reltio builds a SaaS platform for master data management and context intelligence, targeting enterprises in life sciences, financial services, healthcare, and technology. The product harmonizes and unifies fragmented data across sources in real time, exposing 360-degree entity views—customers, products, accounts—to downstream AI systems and applications with sub-second latency. The platform ingests both structured and unstructured data, applies graph-based entity resolution and enrichment, and mobilizes results via APIs and integrations to Salesforce, Dynamics 365, and custom applications. The company operates from Redwood Shores, California, with distributed hiring across the United States, Canada, Portugal, India, and the UK.

HeadquartersRedwood Shores, CA

Company Size201–500 employees

Founded2011

Hiring MarketsPortugal, United States, Canada, India, United Kingdom

Frequently Asked Questions

What tech stack does Reltio use?

Core: AWS, Azure, GCP, Kubernetes. Data layer: Snowflake, BigQuery, Databricks, Redshift, Kafka. Frontend: React, Node.js, JavaScript. ML/AI: OpenAI, Mistral, Claude, LLaMA, LangGraph, Crew AI. Also: Salesforce, dbt, Python, Java.

What is Reltio working on?

Core: MDM platform development and customized framework design. AI: LLM-based agentic workflows, enterprise-grade agentic systems, RAG pipelines. Focus areas: AI/ML models for data management, partner-led MDM implementations, customer adoption programs.