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.
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.
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
As you master our integration landscape, you'll 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
- 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
- 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
- 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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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 from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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. We're 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 about our policy for using AI in our application process.
Skills Required
- 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 and dbt
- Familiarity with 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 with ability to debug complex integration issues across multiple systems
- Excellent communication skills to collaborate with technical and business stakeholders
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
Anthropic Insights
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
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