CommerceIQ Tech Stack

AI-powered ecommerce management platform for multi-marketplace selling

Software Development Mountain View, California 201–500 employees Founded 2012 Privately Held

CommerceIQ operates a data and AI-driven platform for brand selling across major online retailers. The stack reveals a data engineering operation: Spark, Databricks, Kafka, Presto, and a lakehouse architecture built for retail analytics at scale. The hiring mix is heavily weighted toward engineering (26 of 51 roles) with a meaningful AI/ML push (Head of AI Engineering, scalable ML infrastructure projects), and the pain-point list centers on production ML deployment and distributed systems reliability—typical constraints for a company moving from research prototypes into scalable agentic applications.

Tech Stack 67 technologies

Core StackAWS Apache Spark Databricks Kubernetes JavaScript React Angular Vue Node.js Express.js TypeScript Figma Webpack Vite Cypress The Trade Desk Java Hadoop Kafka PyTorch Instacart HTML CSS Amazon DSP Amazon Advertising Storm Presto GCP Azure LinkedIn Recruiter+37 more

What CommerceIQ Is Building

◆Challenges

Scalability problems
Scaling ai systems from research to production
Building scalable crawl platform
Unifying data across product lines
Customers' root business challenges
Scaling revenue operations
Distributed systems reliability
Customer satisfaction
Improving operational rigor
Scalable lakehouse for retail media

▲Active Projects

Next generation ai-driven saas solutions
Scalable crawl platform
Agentic applications
Scalable ml infrastructure
Scalable lakehouse for retail media
Workflow orchestration
End-to-end machine learning platform
Prototype with customers
Rollout of people programs
Ai-driven solution prototypes

Hiring Activity

Steady50 roles · 15 in 30d

Department

Engineering

Support

Data

Ops

Product

Sales

Seniority

Senior

Mid

Director

Junior

Lead

Manager

Intern

Notable leadership hires: Tech Lead, Technical Lead, Head of AI Engineering, Account Director

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About CommerceIQ

CommerceIQ provides an end-to-end ecommerce management platform serving 2,200+ consumer brands (primarily in food & beverage and consumer goods) selling across major online marketplaces. The platform combines data aggregation, AI-driven optimization, and retail media management to help brands track performance across the digital shelf and marketplace networks spanning over 900 retailers. The company operates from Mountain View and employs 201–500 people across engineering, data, product, and support functions.

HeadquartersMountain View, California

Company Size201–500 employees

Founded2012

Hiring MarketsIndia, United States, Canada, United Kingdom

Frequently Asked Questions

What tech stack does CommerceIQ use?

CommerceIQ runs on AWS with Apache Spark, Databricks, Kubernetes, and Kafka for data orchestration. Frontend uses React, Vue, and Angular; backend includes Node.js and Java. Analytics leverage PyTorch, Presto, Hadoop, and Google Cloud Platform.

What is CommerceIQ working on?

Active projects include agentic AI applications, a scalable ML infrastructure platform, a lakehouse for retail media analytics, workflow orchestration, and an end-to-end machine learning platform. The company is also building a scalable web crawl platform and prototyping AI-driven solutions with customers.