AI-powered data platform and automation layer for ecommerce brands
Triple Whale consolidates fragmented ecommerce data (Shopify, Salesforce Commerce Cloud, HubSpot) into a single intelligence layer built on BigQuery and ClickHouse, then operationalizes insights through AI agents for marketing automation and creative asset generation. The hiring mix is heavily weighted toward senior engineers and product roles, with active projects centered on AI-powered workflows and cross-channel optimization—indicating a shift from analytics-only toward autonomous action-taking. Pain points around data pipeline scaling and AI model maintenance suggest the platform is maturing from reporting into real-time decision automation.
Triple Whale is an intelligence platform for direct-to-consumer ecommerce brands, founded in 2021 and headquartered in Columbus, Ohio. The product ingests data from major ecommerce and marketing platforms (Shopify, Salesforce Commerce Cloud, HubSpot, LinkedIn Sales Navigator), unifies it across BigQuery and ClickHouse, and surfaces insights through dashboards, measurement tools, and AI-driven recommendations. Beyond reporting, the platform deploys AI agents to automate marketing channel optimization, generate creative assets, and trigger actions across the tech stack. The company operates at mid-market scale (51–200 employees) with a global hiring footprint spanning the US, Israel, UK, Australia, and Ireland.
Core platform: React, Node.js, Python, Java on GCP; data layer: BigQuery, ClickHouse, Elasticsearch, MongoDB, Firestore; integrations: Shopify, Salesforce Commerce Cloud, HubSpot, LinkedIn Sales Navigator; ML: scikit-learn, pandas; infrastructure: Kubernetes.
Active projects include AI agents for cross-channel marketing optimization, AI-powered onboarding workflows, monetization and pricing architecture, bundled offerings, and outbound expansion in ANZ region.
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