Finance Systems Integration Engineer

Anthropic•Seattle, WA

5d•Hybrid

About The Position

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.

Requirements

Have 8+ years of experience in integration development, data engineering, or systems engineering roles
Possess hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools
Have strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts
Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation
Have working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks
Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures
Have familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes
Possess strong problem-solving skills with ability to debug complex integration issues across multiple systems
Thrive in a fast-paced, high-growth environment balancing innovation with operational stability
Have excellent communication skills to collaborate with technical and business stakeholders

Nice To Haves

Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)
Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing
Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)
Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management
Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts
Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)
Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration
Professional certifications such as Workato, Workday integrations, or relevant technical credentials
Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field
Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics

Responsibilities

Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions
Support integration development and testing during the ERP implementation projects
Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication
Implement real-time and batch integration patterns supporting high-volume financial transactions
Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity
Document integration architectures, data flows, API specifications, and troubleshooting procedures
Collaborate with implementation consulting partners and vendors on technical integration requirements
Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting
Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes
Create automated validation and quality assurance processes for AI-generated outputs
Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions
Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation
Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting
Implement data quality checks and testing frameworks for financial data pipelines
Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring
Support executive dashboards and financial analytics by ensuring timely, accurate data delivery
Maintain comprehensive documentation for integrations, AI agents, and data pipelines
Support internal and external audits with technical evidence and system access reviews
Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests
Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions