Senior AI Engineer – Growth

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Kraken Digital Asset Exchange

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

📋 Description

• You’ll work directly with the AI Growth Infrastructure Lead, the Growth Workflow Specialists across channels, and the domain experts who spec the workflows you build. • You’ll operate within the Growth Foundations Group — the centralized team that builds the engine every product team in the business runs on. • As AI Engineer, Growth, you will be the second builder on this engine. Working alongside our lead architect, you execute — building, shipping, and iterating the agent orchestrations, automated workflows, and system integrations that power every growth work-stream: paid growth, lifecycle, organic search, CRO, incentives, referrals, and beyond.

🎯 Requirements

• 3+ years building automation workflows, integrations, or agentic systems — using AI orchestration platforms, workflow automation tools, or equivalent technologies • Strong understanding of API integrations — REST, webhooks, authentication patterns, and error handling at scale • Experience working with LLM APIs — prompt engineering, structured outputs, tool use, and agent chaining • Comfort working from a spec — you can take a workflow design and build it accurately without the architect in the room • Growth or marketing context — you understand what you’re building toward, not just how to build it • Speed and quality in balance — you ship fast and you care what you ship

🏖️ Benefits

• Our commitment to diversity and inclusion • Flexible work environment • Opportunity for professional growth