Finance Systems Integration Engineer
anthropic
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Job summary
Qualifications
- 8+ years of experience in integration development, data engineering, or systems engineering roles.
- Hands-on experience with iPaaS platforms like Workato, MuleSoft, or Dell Boomi.
- Familiarity with ERP systems such as Oracle Fusion or Workday Financials.
Responsibilities
- Design, build, and maintain integrations connecting ERP systems with downstream applications.
- Support integration development and testing during ERP implementation projects.
- Collaborate with implementation consulting partners and vendors.
Skills
Education
Tools
Job description
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.
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.
- 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
As you master our integration landscape, you'll have opportunities to expand into:
- 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
- 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
- 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
- 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
- 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
The annual compensation range for this role is listed below.
$205,000 - $265,000 USD
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas. If we make you an offer, we will make every reasonable effort to obtain a visa.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every qualification. We urge you not to exclude yourself prematurely and to apply if you are interested in this work.
Your safety matters to us. To protect yourself from potential scams, note that legitimate Anthropic recruiters only contact you from anthropic.com email addresses. Legitimate recruiters will never ask for money or banking information before your first day. If you are unsure, visit anthropic.com/careers directly for confirmed openings.
As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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