AI Engineer

Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. 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. The Role We’re building an AI-native growth engine — one where agents make distribution decisions, creative is generated and iterated at scale, and the system compounds intelligence across every product simultaneously. This is not automation bolted onto existing workflows. It is a new model entirely. 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. This role is for someone who moves fast, builds from specs without needing hand-holding, and cares deeply about the quality of what they ship. If you’ve spent your career wanting to build systems that actually run growth rather than just support it — this is that role. The opportunity WHAT YOU’LL BUILD • Agent orchestration workflows across growth use cases — automating the decisions and executions that today require human intervention across paid media, lifecycle messaging, organic content, conversion optimization, incentives, and other growth levers • Integrations between our AI reasoning layer, growth execution platforms, data infrastructure, experimentation systems, and analytics tools • Shared agent infrastructure components — reusable workflow patterns, prompt libraries, and integration clients that every growth workstream draws from • Monitoring and audit logging — ensuring every agent action is traceable, versioned, and queryable for governance and continuous improvement • Creative and content generation pipelines — automating the brief-to-variant-to-distribution loop across growth channels WHAT YOU’LL OWN • Build velocity across new growth workstreams — you are the person who gets workflows from spec to production • Integration reliability — connections between systems work, handle errors gracefully, and are maintained as tools evolve • Workflow documentation — every workflow you build is documented clearly enough that a domain specialist can understand, tune, and improve it without your involvement What you bring • 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 Nice to haves • Experience with paid media platforms, marketing automation, CRM, or lifecycle messaging systems • Familiarity with data warehouse query patterns and event tracking infrastructure • Background in a high-growth fintech, consumer tech, or multi-product technology environment • Experience designing multi-agent architectures or complex agent-to-agent workflows