Matador Tech Stack

Conversational AI for automotive dealership sales and customer engagement

Software Development Montreal 51–200 employees Privately Held

Matador builds a conversational AI platform purpose-built for car dealerships, with GPT at its core and a data stack built for scale: Kafka, PostgreSQL, MongoDB, BigQuery, Redshift, and ClickHouse power real-time pipelines and AI workflows. The company is actively scaling its data infrastructure (evident from projects around Kafka-based streaming, data contracts, and event-driven architecture) while migrating ERP from QuickBooks Online to NetSuite—a shift suggesting operational maturation as headcount and deal volume grow.

Tech Stack 25 technologies

Core StackKafka PostgreSQL MongoDB AWS Docker ClickHouse OpenTelemetry CloudWatch BigQuery Redshift GitHub Actions dbt RAG Python TypeScript JavaScript LangChain GPT DealerSocket Avro Protocol Buffers Confluent Schema Registry LlamaIndex

AdoptingNetSuite

ReplacingQuickBooks Online

What Matador Is Building

◆Challenges

Scaling real-time data pipelines
Building scalable data architecture
Scaling data engineering team
Real-time data systems
Migrating from quickbooks online
Building scalable processes from scratch

▲Active Projects

Data pipeline architecture
Automotivegpt roadmap
Matador superhuman ai development
Automotivegpt platform
Automation workflows
Real-time data platform
Kafka-based data pipelines
Event-driven streaming data architecture
Data contracts with avro/protobuf
Netsuite implementation

Hiring Activity

Steady7 roles · 3 in 30d

Department

Data

Product

Engineering

Finance

Support

Seniority

Senior

Junior

Principal

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About Matador

Matador delivers conversational AI solutions to automotive dealerships, automating lead engagement, outreach, and follow-up across SMS and other channels. The platform handles customer interactions end-to-end, personalizing conversations and routing opportunities to sales teams. The company operates from Montreal with a lean, senior-heavy team focused on data infrastructure, product, and engineering. Core technical operations run on AWS, with event streaming (Kafka), relational and NoSQL storage (PostgreSQL, MongoDB), and data warehousing (BigQuery, Redshift) supporting real-time AI inference and customer interaction logs.

HeadquartersMontreal

Company Size51–200 employees

Hiring MarketsCanada

Frequently Asked Questions

What tech stack does Matador use?

Matador uses GPT, Kafka, PostgreSQL, MongoDB, AWS, ClickHouse, BigQuery, Redshift, dbt, LangChain, and LlamaIndex. Data pipelines run on Kafka with schema management via Avro and Protocol Buffers.

What is Matador working on?

Active projects include real-time data pipeline architecture, AutomitiveGPT platform roadmap, Matador Superhuman AI development, event-driven streaming data architecture, and NetSuite ERP implementation.