Digital advertising platform connecting businesses with customers through unified campaign management
AdCellerant operates a digital advertising platform built on a polyglot stack (TypeScript, Java, Python) running on AWS/Azure/GCP with Kubernetes orchestration, connecting to The Trade Desk, Amazon DSP, and Google/Bing ad networks. The hiring mix is heavily weighted toward marketing and sales roles (8 of 10 open positions), reflecting a partner-led go-to-market model — the project list and pain points confirm this, surfacing partner onboarding, training, and network expansion as core operational challenges alongside campaign performance scaling.
AdCellerant builds a platform for businesses to plan, launch, and optimize digital ad campaigns across multiple networks and channels from a single interface. Founded in 2013 and headquartered in Denver, the company serves mid-market and enterprise customers through partnerships with media companies and agencies. The platform consolidates proposal generation, campaign setup, performance tracking, and buyer-journey management. Active projects center on partner enablement (onboarding, training, demonstrations) and campaign operations (QA, pacing, spend management, upsell), indicating a business model where partner success directly drives customer outcomes.
TypeScript, Java, Python, Node.js, Spring Framework, GraphQL, Kubernetes, Docker, Argo CD on AWS/Azure/GCP infrastructure. Data layer includes BigQuery, Elasticsearch, Apache Spark, Airflow, and RabbitMQ/Pub/Sub for message handling.
Google Ads, Bing Ads, The Trade Desk, and Amazon DSP. The platform also pulls campaign data through Google Analytics and uses SEMrush for analytics and optimization.
AdCellerant'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.