AI-powered ad platform unifying creative production and media buying
Smartly runs a creative-and-media advertising platform built on Node.js, TypeScript, React and PostgreSQL across AWS and GCP, with Kafka and RabbitMQ for messaging. Its ML layer (PyTorch, TensorFlow, MLflow, Kubeflow) and a migration away from Ruby on Rails point to a modernizing core. Hiring is accelerating, senior-weighted and engineering-led, with notable support depth and projects centered on AI agents, predictive budget allocation and Bayesian revenue modeling.
Notable leadership hires: Art Director, Creative Director
Smartly is a Helsinki-headquartered advertising technology company founded in 2013 and privately held, with 501–1,000 employees. It provides a platform that combines ad creative production, media buying and performance intelligence for large brands and advertisers. The product connects to major social and search ad channels including Facebook, Google, Instagram, Pinterest, Snap and TikTok, alongside Google Ads and DV360. Teams span engineering, customer support, sales, data, marketing and design, with hiring across Finland, the United States, the United Kingdom, Germany, Canada, Mexico, India, Singapore, the Philippines and the UAE.
Smartly uses Node.js, TypeScript, React, Koa, PostgreSQL, Redis, Kafka and RabbitMQ on AWS and GCP with Kubernetes, plus PyTorch, TensorFlow, MLflow and Kubeflow for ML. It is moving away from Ruby on Rails.
Yes. Engineering is Smartly's largest hiring area, followed by support and sales, with hiring accelerating and skewed toward senior roles. Creative leadership roles such as Art Director and Creative Director are also open.
Smartly hires in Finland, the United States, the United Kingdom, Germany, Canada, Mexico, India, Singapore, the Philippines and the United Arab Emirates, with headquarters in Helsinki.
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Smartly'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.