Enterprise platform for influencer marketing and creator-led brand campaigns
CreatorIQ operates a SaaS platform for enterprise brands and agencies managing influencer campaigns across paid, owned, earned, and commerce channels. The tech stack reveals a data-intensive analytics architecture: Python + Django on the backend, React + TypeScript frontend, with Snowflake, Redshift, and BigQuery (Vertex AI) handling warehousing and ML. Active projects around real-time campaign data ingestion, analytical migration, and measurement pipelines signal a shift toward more granular performance attribution—addressing a stated pain point in platform adoption and measurement complexity.
Notable leadership hires: Director of Sales
CreatorIQ is a cloud-based operating system for influencer marketing, serving over 1,300 global brands and agencies. The platform consolidates creator campaigns across multiple channels and social networks (Meta, TikTok, YouTube, Snapchat) into a unified dashboard, powered by proprietary Creator Graph intelligence. The product integrates with major CRM and analytics platforms (Salesforce, HubSpot, Looker, Tableau) to enable campaign orchestration, performance tracking, and compliance at enterprise scale. Founded in 2014 and headquartered in Culver City, CreatorIQ operates with 201–500 employees across the United States, UK, Poland, Peru, Canada, South Korea, and France.
Backend: Python, Django, Node.js, Go, Java. Frontend: React, TypeScript, Material-UI. Data: Snowflake, Redshift, BigQuery (Vertex AI), Elasticsearch, dbt, Tableau, Looker. Infrastructure: AWS, GCP. Integrations: Salesforce, HubSpot, LinkedIn Sales Navigator.
Culver City, California. The company operates globally with hiring across the United States, United Kingdom, Poland, Peru, Canada, South Korea, and France.
CreatorIQ'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.