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Senior AI Engineer - Growth

Job in Peru, La Salle County, Illinois, 61354, USA
Listing for: Kraken
Full Time position
Listed on 2026-07-31
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Building the Future of Open Finance

Payward - the parent company behind Kraken, Ninja Trader, 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.

Payward - the parent company behind Kraken, Ninja Trader, 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.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

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.

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 work streams — 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…
Position Requirements
10+ Years work experience
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