AI-driven retail media optimization across Amazon and major ad channels
Quartile runs an AI platform that optimizes advertising spend for brands selling on marketplaces like Amazon, Instacart and Walmart-style retail media channels. Its stack pairs Databricks, Spark and Unity Catalog with OpenAI, Anthropic, FastAPI and RAG, and job posts center on LLM evaluation harnesses and agentic AI for customer success — a shift from classic bid optimization toward generative AI. Accelerating, sales-led hiring points to a push on revenue enablement.
Quartile, founded in 2018 and headquartered in New York, builds machine learning software that manages and optimizes e-commerce advertising for brands and marketplace sellers. The platform spans Amazon Ads, Amazon DSP and Amazon Marketing Cloud alongside Google Ads, Microsoft Advertising, DV360, Meta, TikTok, Pinterest and Instacart. The privately held company has 201–500 employees and hires in the United States and Brazil. Its teams combine sales, marketing, engineering and data functions to serve advertisers running multichannel retail media programs.
Quartile uses AWS, Databricks, Apache Spark, Unity Catalog, Python, FastAPI, Pydantic and Terraform, plus OpenAI and Anthropic for AI, Salesforce and ChurnZero for customer operations, and Power BI for reporting.
Yes. Hiring is accelerating, led by sales, with engineering, marketing and data roles also open, mostly at mid and senior levels. Roles are based in the United States and Brazil.
Job posts point to agentic AI systems for customer success, LLM evaluation harnesses, guardrails for trustworthy AI outputs, ML model evaluation methodology and enablement programs for revenue teams.
Other companies in the same industry, closest in size
Quartile'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.