Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.
What makes us different?
Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.
Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.
As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.
Become a Krakenite and build the future of crypto!
Kraken's Global Finance team is the operational backbone of one of the world's most trusted and longest-standing crypto exchanges. The team spans accounting, FP&A, treasury, tax, and finance operations across multiple regulated entities and 70+ countries, managing the financial infrastructure that underpins everything from daily close to regulatory reporting to crypto-native asset reconciliation.
As financial complexity grows with Kraken's global footprint, this role architectures and provides hands-on building to scale growth. Finance operations at a globally regulated crypto exchange managing close cycles, reconciliations, reporting, treasury monitoring, and controls validation all generate substantial manual effort tied to critical financial and regulatory obligations. Errors carry audit, SOX, security ,and regulatory consequences.
You will serve as the primary architect and builder of the AI-native finance operating system at Kraken. This role spans two simultaneous horizons: deploying production automation now and redesigning the finance architecture for the long term. Responsibilities span five core areas:
Evaluate how financial work currently flows across the organization, including close, reconciliations, treasury, reporting, controls validation, and audit preparation.
Identify capability gaps, manual bottlenecks, and integration failure points across systems including NetSuite, BlackLine, Kyriba, Fireblocks, and Lukka.
Benchmark current operations against best-in-class practices and emerging AI capabilities to build the Finance automation roadmap, prioritized by operational leverage and regulatory risk.
Work directly with accounting, FP&A, treasury, and finance operations teams to translate process pain points into buildable automation requirements.
Design the long-term architecture for an AI-native finance operating system. Define how agentic systems interact with financial infrastructure, data pipelines, and control and reporting frameworks.
Evaluate Kraken's existing finance systems stack from first principles, including platforms and the interfaces and data flows between them. Identify opportunities to simplify the stack, reduce manual intervention, and define a scalable target architecture.
Build an agentic finance layer that runs alongside the existing stack today, automating workflows while defining the migration path toward a more scalable, AI-native architecture over time.
Deploy production-grade agentic workflows that automate finance operations: reconciliations, close processes, audit and reporting preparation, treasury monitoring, financial analytics, and controls validation.
Build using modern AI tooling including Claude and Anthropic APIs, Python-based orchestration, n8n or equivalent workflow engines, and MCP or similar agent coordination layers.
Integrate internal and external systems by connecting APIs, data sources, and tools into unified automated workflows that deliver real operational leverage.
Maintain human oversight where appropriate. Design for auditability and control integrity, not just efficiency.
Establish guardrails that allow automation and agent behavior to operate safely in a SOX-regulated financial environment. Define which controls are maintained, which are redesigned, and how workflow scope preserves control integrity.
Build frameworks covering data classification, auditability, human-in-the-loop checkpoints, failure detection, rollback mechanisms, regulatory compliance, and audit-ready design documentation.
Classify all automation builds by risk tier before work begins. No build goes to production without a named Process Owner, documented data flows, access controls, and audit logging confirmed.
Serve as the Finance domain representative in Kraken's Automate Everything Center of Excellence, contributing to governance standards and cross-functional build alignment.
Create reusable frameworks, workflow templates, and documentation so that future Finance team members can safely build on top of the platform without relying on a single specialist.
Train finance professionals on AI-assisted tools and workflows deployed in production. Drive adoption and operational independence, not just delivery.
Build metrics, dashboards, and performance frameworks to measure efficiency gains, cost reduction, risk outcomes, and ROI from automation and AI initiatives.
Provide leadership reporting on operational improvements, risk posture, and the finance platform roadmap.
This role is designed for a technical builder and systems architect who has already deployed agentic systems in production.
Proven track record designing, deploying, and scaling agentic AI systems in production environments used by others, not just experimentation or internal demos.
Deep understanding of LLM orchestration, multi-agent system design, and the failure modes of autonomous AI workflows in high-stakes operational environments.
Strong systems architecture capability: able to move from discovery to design to build to deployment to optimization without relying on external consultants.
Hands-on proficiency with modern AI automation tooling: Claude/Anthropic APIs, Python-based orchestration, n8n or equivalent workflow engines, MCP o
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