Artie Tech Stack

Real-time data replication platform built for scale

Software Development San Francisco 11–50 employees Privately Held

Artie operates a streaming data integration platform combining change-data-capture, pipeline automation, and observability into a single product. The stack—TypeScript/React frontend on Go backends, Kafka/Redis/Elasticsearch for streaming, PostgreSQL/Snowflake for storage, deployed on Kubernetes across GCP/AWS—reflects an infrastructure-first engineering org. The hiring mix is senior-heavy (7 of 9 open roles) and distributed across engineering, ops, product, and sales, while pain points cluster around GTM scaling and product coherence, suggesting a company transitioning from product-led early growth toward a sales-supported motion.

Tech Stack 16 technologies

Core StackTypeScript React Go PostgreSQL Redis Kafka Elasticsearch Terraform Kubernetes Helm AWS SQL Server MySQL Snowflake Material-UI GCP

What Artie Is Building

◆Challenges

Scaling gtm engine
Batch etl limitations
Improving feature discoverability
Reducing reliance on support
Coherence of growing product
Inconsistent inbound sales
Building marketing function from scratch
Building recruiting foundation
Operational gaps
Lack of structured processes

▲Active Projects

Schema change alerts feature
Column exclusion feature
Encryption feature
Self-serve onboarding design
Feature discoverability improvement
Coherence of product surface
Scaling gtm engine
Operationalizing systems and workflows
Data-driven decision-making
Messaging framework

Hiring Activity

Minimal9 roles · 1 in 30d

Department

Engineering

Ops

Marketing

Product

Sales

Seniority

Senior

Mid

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About Artie

Artie provides real-time data replication and streaming pipelines for mid-market engineering teams. The product handles the full lifecycle of data movement—change detection, schema evolution, backfills, merges—and scales to billions of change events daily. It targets teams that would otherwise build custom pipeline infrastructure in-house, eliminating months of platform work. The company operates from San Francisco with 11–50 employees, primarily in the United States, and is advancing projects around schema alerting, column exclusion, encryption, and self-serve onboarding alongside internal efforts to systematize sales processes and reduce support dependency.

HeadquartersSan Francisco

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What is Artie's tech stack?

Frontend: TypeScript, React, Material-UI. Backend: Go. Data: PostgreSQL, Redis, Kafka, Elasticsearch, Snowflake, MySQL, SQL Server. Infrastructure: Kubernetes, Helm, Terraform on GCP and AWS.

What is Artie working on?

Current priorities include schema change alerts, column exclusion, encryption features, self-serve onboarding design, feature discoverability, and efforts to scale go-to-market operations and standardize internal workflows.