creatoriq · Warsaw
Skills: React, TypeScript, Node.js, Python, SQL, AWS, GraphQL, CI/CD
CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! SENIOR SOFTWARE ENGINEER — BRAND SAFETY & AGENTIC AI Employment Type: Full time Employment Contract We are looking for a Senior Software Engineer — Brand Safety & Agentic AI to join our Safety & Compliance team and help build and evolve CreatorIQ’s AI-driven brand safety platform. This is a backend-focused role responsible for developing scalable services, APIs, and data-processing capabilities that power brand safety workflows across large volumes of creator and social content. SafeIQ helps brands identify potential risks, assess suitability, and make better-informed brand safety decisions. The system supports historical analysis, pre-campaign evaluation, and ongoing monitoring while keeping humans in control of final review and decision-making. You will work with event-driven and serverless architectures on AWS, large-scale data pipelines, tran…
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