For companies:
For professionals:
For everyone:
Responsibilities
About the roleKrakenites are a world-class team with crypto conviction, united by a 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. You’ll join the mission to accelerate the global adoption of crypto so that everyone can achieve financial freedom and inclusion.Kraken is committed to industry-leading security, crypto education, and world-class client support through products like Kraken Pro, Desktop, Wallet, and Kraken Futures.The TeamKraken's Global Finance team is the operational backbone of a crypto exchange—spanning accounting, FP&A, treasury, tax, and finance operations across multiple regulated entities and 70+ countries. The team manages financial infrastructure underlying everything from daily close to regulatory reporting and crypto-native asset reconciliation.As financial complexity grows, this role architectures and provides hands-on building to scale growth. Errors can carry audit, SOX, security, and regulatory consequences.The OpportunityYou will serve as the primary architect and builder of the AI-native finance operating system at Kraken. The role covers two simultaneous horizons: deploying production automation now and redesigning the finance architecture for the long term.ResponsibilitiesAssess and map Finance operationsEvaluate how financial work 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.Architect the agentic finance platformDesign the long-term architecture for an AI-native finance operating system, including how agentic systems interact with financial infrastructure, data pipelines, and control and reporting frameworks.Evaluate Kraken's existing finance systems stack from first principles 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 a migration path toward a more scalable, AI-native architecture over time.Build and deploy production finance automationDeploy 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, and design for auditability and control integrity (not just efficiency).Own AI governance for FinanceEstablish guardrails for safe automation and agent behavior in a SOX-regulated financial environment, defining which controls are maintained vs. redesigned and how workflow scope preserves control integrity.Build frameworks for 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, with no production build without a named Process Owner, documented data flows, access controls, and confirmed audit logging.Serve as the Finance domain representative in Kraken's Automate Everything Center of Excellence, contributing to governance standards and cross-functional build alignment.Build the foundation for AI-native FinanceCreate reusable frameworks, workflow templates, and documentation so future Finance team members can build on top of the platform without relying on a single specialist.Train finance professionals on AI-assisted tools and workflows deployed in production to drive adoption and operational independence.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.Skills You Should HODLProven 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 failure modes of autonomous AI workflows in high-stakes operational environments.Strong systems architecture capability 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, including understanding 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 communication skills to bridge finance, technical, and business teams while influencing senior stakeholders and driving cross-functional alignment.Comfortable operating in fast-paced, ambiguous environments with high ownership and bias toward execution.Nice to HaveExperience with Finance systems stack or enterprise platforms: NetSuite, BlackLine, Kyriba, Fireblocks, or Lukka.Background as a Head of Product or Head of Engineering at an AI-native company, AI systems architect, or founder/early engineer at an agentic infrastructure company.Familiarity with crypto-native financial infrastructure including digital asset custody, on-chain reconciliation, and blockchain-based accounting workflows.Experience in high-velocity or resource-constrained environments (startup, PE-backed company, or understaffed finance team).Familiarity with data privacy, information governance, or compliance systems in a financial services context.Experience managing vendor relationships and procurement for finance technology platforms.Additional notesApplications are accepted on an ongoing basis unless a specific deadline is stated in the job posting.Applicants may redact or remove resume information identifying age, date of birth, or dates of attendance/graduation.Kraken considers qualified applicants with criminal histories in line with the San Francisco Fair Chance Ordinance.Kraken hires strictly based on merit; encourages applying even if you don’t fully meet the listed requirements.Kraken may ask candidates to complete job-related skills or work-style assessments; results are considered alongside experience and interviews.Stay in the knowFollow Kraken on Twitter, learn on the Kraken Blog, and connect on LinkedIn.
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS