Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
TypeScript @ 6
Python @ 6
Looker @ 3
Tableau @ 3
dbt @ 3
Airflow @ 3
Communication @ 3
Data Engineering @ 6
JavaScript @ 6
Performance Optimization @ 3
Stripe @ 3
API @ 3
BI @ 3
iPaaS @ 3
Boomi @ 3
Mulesoft @ 3
OAuth @ 3
Workato @ 3
Databricks @ 3
Reporting @ 3
Design Patterns @ 3
LLM @ 1
Oracle @ 2
Power BI @ 3
Snowflake @ 3
Audit @ 3
Salesforce @ 3
AI @ 3
Data Pipelines @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Anthropic
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.
Role summary
We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation. You will design and build integrations connecting our ERP platform with critical financial applications and support ERP implementation initiatives. As you master the integration landscape, there are opportunities to expand into Claude-powered AI automation and data pipeline development.
Responsibilities
Core focus: Integration development & ERP support
- Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, payroll systems, Salesforce, and other financial platforms using Workato, MuleSoft, or similar iPaaS solutions
- Support integration development and testing during 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
Additional scope: AI automation & data infrastructure
AI agent development
- 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 leveraging 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
Data pipeline support
- 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
Governance & collaboration
- 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
Requirements
- 8+ years of experience in integration development, data engineering, or systems engineering roles
- Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools
- Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts
- Experience with data pipeline tools including Airflow for orchestration and dbt for transformation
- Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks
- Understanding of REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures
- Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes
- Strong problem-solving skills and ability to debug complex integration issues across multiple systems
- Excellent communication skills to collaborate with technical and business stakeholders
Nice-to-have / Strong candidates may also have
- Experience with high-growth technology companies scaling through rapid revenue expansion
- Background in AI/ML companies and familiarity with consumption-based pricing, usage metering platforms, and marketplace billing
- Hands-on experience with 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
- 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)
- Professional certifications such as Workato or Workday integrations
- Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related field
- Experience with BI and financial reporting tools (Hex, Looker, Tableau, Power BI)
Compensation
- Annual Salary: $205,000 - $265,000 USD
Logistics
- Education requirements: At least a Bachelor's degree in a related field or equivalent experience
- Location-based hybrid policy: Currently, staff are expected to be in one of our offices at least 25% of the time (some roles may require more time in offices)
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to help, though sponsorship is not guaranteed for every role/candidate
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration.