Finance Systems Engineer, Tax

About the role

As a Tax Technologist in the Finance Systems Tax Technology function, you will build and own integrations, tooling and production code that connect tax systems to Anthropic's billing, ERP and data‑warehouse platforms. You’ll be a foundational hire on a small team, partnering with Tax, Data Science, Billing Engineering and Product, and later use Claude to automate tax work and create internal high‑impact products.

About the company

Anthropic is a public benefit corporation headquartered in San Francisco that focuses on building reliable, interpretable and steerable AI systems. Their mission is to create safe, beneficial AI and they employ researchers, engineers, policy experts and business leaders in a fast‑growing team.

Requirements

• Hands‑on experience building or owning production integrations against billing platforms, ERPs, or enterprise tax/finance systems
• Fluency with tax systems in at least one domain (indirect tax engines, corporate tax provision, withholding, research credit, or transfer pricing) gained from a tax‑technology practice, vendor or in‑house team
• Proficiency writing production‑grade Python with testing and code‑review discipline
• SQL proficiency sufficient to build reconciliations and validate data end‑to‑end
• Experience building or operating SOX‑aware data flows such as IPE, control totals, or documented testable pipelines
• Ability to work independently in a constantly changing fast‑paced environment
• Ability to work directly with vendors, auditors, engineers, and tax team without an intermediary
• 7+ years in tax technology, finance systems engineering, or a closely related field (preferred)
• Experience owning changes inside a shared production codebase alongside a product engineering team (preferred)
• Warehouse/analytics‑engineering skills such as dbt, BigQuery, or comparable (preferred)
• Breadth across multiple tax domains including indirect, corporate income tax and provision, withholding, research credit, and transfer pricing (preferred)
• Experience building internal tools or interfaces for non‑technical finance or tax users (preferred)
• Experience building with LLMs or applying AI to finance or tax work (preferred)
• Marketplace, usage‑based, or platform billing exposure (preferred)
• Experience taking over vendor‑built systems and hardening them for long‑term ownership (preferred)
• UAT design and change‑management experience on finance‑systems implementations (preferred)
• Record of novel AI applications for foundational tax tasks or problems (preferred)