Finance Systems Integration Engineer

Anthropic

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 205000 - 265000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

About Anthropic

Anthropics 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. Youll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape youll have opportunities to expand into Claude-powered AI automation and data pipeline development.

Youll 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 youll shape our integration architecture from the ground up then expand into cutting-edge AI automation as our needs evolve. Youll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.

In this role you will:

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 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

Additional Scope: AI Automation & Data Infrastructure

As you master our integration landscape youll have opportunities to expand into:

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 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

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

You may be a good fit if you:

  • 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

Strong candidates may also have:

  • 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
  • Bachelors or Masters 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.

For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$205000 - $265000 USD

Logistics

Education requirements: We require at least a Bachelors 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! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.To protect yourself from potential scams remember that Anthropic recruiters only contact you addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process


Required Experience:

IC

About AnthropicAnthropics 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 t...
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Key Skills

  • APIs
  • Jenkins
  • REST
  • Python
  • SOAP
  • Systems Engineering
  • Service-Oriented Architecture
  • Java
  • XML
  • JSON
  • Scripting
  • Sftp

About Company

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Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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