
51 - 200 employees
📣 Marketing
📱 Media
🤖 Artificial Intelligence
💰 $5.2M Series A on 2017-08
Marketing • Media • Artificial Intelligence
The COOL Company is an AI-powered omnichannel advertising platform that unifies creative automation, dynamic creative optimization, media activation, and transparent measurement/attribution. It enables brands, agencies, publishers and franchise/local teams to generate and personalize creatives quickly, activate campaigns across CTV, display, search and social, and continuously optimize budgets, bids and creative assets using AI-driven insights and reporting to drive measurable performance and stronger ROAS.
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51 - 200 employees
📣 Marketing
📱 Media
🤖 Artificial Intelligence
💰 $5.2M Series A on 2017-08
Marketing • Media • Artificial Intelligence
The COOL Company is an AI-powered omnichannel advertising platform that unifies creative automation, dynamic creative optimization, media activation, and transparent measurement/attribution. It enables brands, agencies, publishers and franchise/local teams to generate and personalize creatives quickly, activate campaigns across CTV, display, search and social, and continuously optimize budgets, bids and creative assets using AI-driven insights and reporting to drive measurable performance and stronger ROAS.
• Build and maintain ETL/ELT pipelines ingesting advertising data feeds into Snowflake • Develop and optimize Snowflake stored procedures for rollups, attribution calculations, and analytics aggregations • Manage AWS Lambda functions in Node.js and Java for real-time and batch processing • Monitor and troubleshoot pipeline health, data accuracy, and freshness • Design and maintain Snowflake data models for reporting, attribution analysis, and Cool AI features • Collaborate with engineering to integrate new data sources and DSP connections • Build and manage S3-based data lake architecture • Support SQS-based asynchronous workflows • Implement data quality checks and alerting • Document data flows, schemas, and pipeline architecture • Mentor junior engineers and drive technical decisions on data architecture
• 5+ years of experience in data engineering or a related role • Proven track record designing and owning end-to-end production data pipelines • Ability to mentor junior engineers and drive technical decisions on data architecture • Primarily work between 9:30 AM and 6:30 PM ET • Player/coach mentality, willing to execute and lead • Ability to manage multiple concurrent projects and meet deadlines • Skilled at receiving and providing direct feedback • Collaborative mindset and teamwork skills • Entrepreneurial, adaptable, and strong learning skills • Curious, research-minded, and data-informed • Ability to identify and apply solutions • Creative confidence • Proactive communication • Interest in online culture • Thrives in a startup culture
• Competitive Salary • Paid Time Off
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