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Kraken, a leading crypto platform founded in 2011 and trusted by over 10 million users globally, is building an AI-native growth engine. You'll join the Growth Foundations Group as the second AI engineer on this initiative, working directly with the AI Growth Infrastructure Lead and growth domain experts.
You will design and build agent orchestration workflows that automate growth decisions across paid media, lifecycle messaging, organic search, conversion rate optimization, incentives, referrals, and other growth levers. This is not automation bolted onto existing systems—it's a fundamentally new model where AI agents make distribution decisions, creative is generated at scale, and intelligence compounds across the entire product portfolio.
Key responsibilities include: building agent orchestrations and automated workflows; integrating the AI reasoning layer with growth execution platforms, data infrastructure, experimentation systems, and analytics; creating shared agent infrastructure components (reusable workflow patterns, prompt libraries, integration clients); implementing monitoring and audit logging for governance and traceability; and automating creative and content generation pipelines.
You'll own build velocity for new growth workstreams, ensuring integrations are reliable and handle errors gracefully, and documenting workflows clearly so domain specialists can tune and improve them independently. You move fast, build from specifications without hand-holding, and balance speed with quality.
Required: 3+ years building automation workflows, integrations, or agentic systems using AI orchestration platforms or equivalent; strong API integration knowledge (REST, webhooks, authentication, error handling); hands-on experience with LLM APIs (prompt engineering, structured outputs, tool use, agent chaining); ability to execute from detailed specs; understanding of growth and marketing context; demonstrated speed and quality in shipping.
Nice-to-haves: experience with paid media platforms, marketing automation, CRM, or lifecycle messaging; familiarity with data warehouse patterns and event tracking; background in high-growth fintech or consumer tech; experience designing multi-agent architectures.
