Stackline Tech Stack

AI-powered retail intelligence platform for brand commerce and media

Software Development Seattle, Washington 201–500 employees Founded 2014 Privately Held

Stackline operates a data-heavy retail intelligence platform built on Python, Spark, Hadoop, and Redshift, with deep integrations into Amazon DSP, The Trade Desk, and Criteo for programmatic advertising. The tech stack and active projects reveal an organization shifting toward LLM deployment and automated ML pipelines — moving from static analytics toward real-time optimization. Sales hiring is outpacing data and engineering roles, suggesting a scaling go-to-market motion ahead of new product launches.

Tech Stack 24 technologies

Core StackThe Trade Desk Python scikit-learn Hadoop Apache Spark AWS MongoDB Redshift PostgreSQL Elasticsearch TypeScript Node.js Apache Airflow Amazon DSP SciPy Criteo Amazon Seller Central Perplexity Instacart Hive Kibana Google Search Snapchat Search Ads 360

What Stackline Is Building

◆Challenges

Streamlining team processes
Scaling service offerings
Optimizing campaign roi
Renewal risk
Data accuracy and consistency
Workflow efficiencies
Whitespace opportunities
Optimizing multi-channel fulfillment
Reducing fulfillment costs
Improving supply chain efficiency

▲Active Projects

Automated reporting and trend detection
Programmatic display campaigns on amazon dsp and the trade desk
Implementing new tools to division
Mentoring associate account managers
Deploy large language models across multiple company products
Create innovative machine learning pipelines
Ppc campaign execution on ams, walmart advertising, and criteo
New product launch advertising plans
Ppc retail search advertising plans
Growth plans

Hiring Activity

Accelerating10 roles · 6 in 30d

Department

Sales

Data

Marketing

Ops

Strategy

Support

Seniority

Director

Senior

Manager

Mid

Junior

Lead

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About Stackline

Stackline is a retail intelligence and activation platform serving approximately 7,000 global brands with analytics, revenue metrics, shopper behavioral data, and autonomous marketing capabilities. Founded in 2014 and headquartered in Seattle, the company employs over 250 people and operates across e-commerce analytics, retail media networks, and programmatic advertising execution. The platform consolidates data from major retail channels — Amazon, Walmart, Instacart, and others — and applies machine learning models to surface insights and execute campaigns. Core pain points revolve around data accuracy, fulfillment optimization, and scaling service delivery across a growing client base.

HeadquartersSeattle, Washington

Company Size201–500 employees

Founded2014

Hiring MarketsUnited States

Frequently Asked Questions

What technology does Stackline use for data pipelines?

Stackline uses Apache Spark, Hadoop, and Apache Airflow for data orchestration, with PostgreSQL and Redshift for storage, and Python with scikit-learn for machine learning model development.

What advertising platforms does Stackline integrate with?

Stackline integrates with Amazon DSP, The Trade Desk, Criteo, Amazon Seller Central, Walmart Advertising, Search Ads 360, and Snapchat for programmatic campaign execution and retail media.

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How this profile is built

Stackline's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.