AI-driven customer acquisition platform across shopping, travel, and search verticals
System1 operates a multi-vertical customer acquisition platform powered by machine learning, connecting high-intent users with advertisers across shopping, travel, and search. The tech stack—Google Ads, Meta, TikTok, AppsFlyer, Amplitude, Python, Node.js, GraphQL, and Kubernetes—reflects a performance-marketing infrastructure designed for real-time bidding and campaign optimization. Active projects center on growth experimentation, multi-touch attribution, and AI agent products, while internal pain points (user acquisition costs, 90-day churn, incomplete attribution data) directly map to the platform's core value proposition—solving for efficiency in high-CAC channels.
Notable leadership hires: Director of Engineering
System1 is a public company (NYSE: SST) operating as both a direct media buyer and a technology platform vendor. On the media side, the company owns and operates consumer properties in shopping, travel, and search verticals. On the platform side, System1 sells a customer acquisition and marketing solution to advertisers seeking to reach high-intent audiences at scale. The company employs 201–500 people across engineering, product, and marketing, headquartered in Marina del Rey, California. Hiring patterns suggest active scaling in marketing and product leadership alongside selective engineering growth, with openings spanning the US and Canada.
System1 uses Google Ads, Google Analytics 4, Meta Ads Manager, TikTok Ads Manager, AppsFlyer, Amplitude, Python, Node.js, AWS, GCP, Docker, Kubernetes, MongoDB, GraphQL, React, Stripe, and Shopify—a modern performance-marketing and full-stack JavaScript stack.
Active projects include a TikTok campaign launch, AI agent mobile and subscription products, multi-touch attribution models, non-paid growth playbooks, and structured experiments for messaging and targeting across paid platforms.
System1'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.