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.
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.

Requirements

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 or similar agent coordination layers.
Strong domain knowledge of finance operations including close processes, reconciliations, treasury, financial reporting, and controls in a regulated environment.
Experience deploying automation in a SOX-regulated or equivalent compliance environment, with demonstrated understanding of which controls must be preserved and how to design automation that maintains audit integrity.
Ability to translate finance and business requirements into technical roadmaps and scalable operational solutions.
Strong communicator who can bridge finance, technical, and business teams while influencing senior stakeholders and driving cross-functional alignment.
Comfortable operating in fast-paced, ambiguous environments with a high level of ownership and bias toward execution.

Benefits

Bonus program
Equity program
Wellness allowance
Health insurance (medical, dental, vision)
401(k)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI systems designLLM orchestrationmulti-agent system designautomation deploymentsystems architecturePython orchestrationworkflow automationfinancial analyticsaudit integrityprocess automation

Soft Skills

strong communicatorcross-functional alignmentinfluencing stakeholdersownershipexecution biastrainingoperational independenceproblem-solvingadaptabilitycollaboration