Anthropics Technology Ltd-posted 19 days ago
$205,000 - $265,000/Yr
Full-time • Mid Level
Hybrid • San Francisco, CA
11-50 employees

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're looking for a Finance AI Engineer to help build the next generation of AI-powered tools for finance and accounting teams. You'll work at the intersection of finance operations, AI product development, and engineering—partnering closely with our Finance team to transform how finance professionals interact with data, process documents, and automate their workflows using Claude. This role offers the opportunity to take full ownership of complex problems at the frontier of AI application in finance. You'll build Claude Skills and workflows that encode deep institutional knowledge about financial data, accounting conventions, and business logic. Your work will span both internal tools for Anthropic's finance team and insights that inform external products—directly contributing to our mission of building safe and beneficial AI systems. In this role you will: Partner with Anthropic's Finance team to build Claude-powered tools that transform how finance professionals interact with data, process documents, and automate their workflows Embed with FP&A, accounting, and finance systems teams to identify high-value automation opportunities and translate them into production-ready AI workflows Design and implement systems that handle OCR, document parsing, and data extraction to transform unstructured finance documents (invoices, contracts, statements) into structured, actionable data Develop deep institutional knowledge of Anthropic's financial data architecture (BigQuery warehouse, accounting conventions, business logic) and encode that knowledge into AI-powered tools Own the full lifecycle from discovery through deployment: scoping requirements with finance users, building prototypes, gathering feedback, and iterating to production Contribute to the underlying Finance AI platform architecture, including evaluation frameworks, scheduled workflows, and collaboration features Build AI-powered workflows that enable natural language queries against financial data systems, automated reporting, and document processing pipelines Create technical documentation and provide hands-on guidance to finance teams on how to leverage AI tools effectively

  • Have experience working embedded with finance or accounting teams, understanding their workflows, terminology, and pain points
  • Can speak fluently about financial concepts: revenue recognition, accruals, close processes, SOX controls, FP&A reporting cycles
  • Have strong software engineering fundamentals and ability to build end-to-end applications
  • Have strong SQL skills and experience working with data warehouses (BigQuery, Snowflake) to build analytical products
  • Have experience with document processing (OCR), natural language processing, or working with unstructured data
  • Have a track record of building trust with non-technical stakeholders and shipping products they actually use
  • Thrive building prototypes or MVPs quickly and iteratively in fast-paced environments
  • Are excited about AI's potential to transform knowledge work and care about building systems that are safe and beneficial
  • Experience building natural language interfaces to data systems (text-to-SQL, conversational analytics)
  • Experience with LLMs, prompt engineering, and AI application development
  • Familiarity with financial data structures, accounting systems (ERP platforms like Oracle, Workday, NetSuite)
  • Prior experience with financial processes including close, reporting, and compliance workflows
  • Familiarity with the unique challenges of AI evaluation: measuring accuracy, handling edge cases, building user trust
  • Prior experience at a high-growth startup where finance processes were still being built
  • competitive compensation
  • benefits
  • optional equity donation matching
  • generous vacation and parental leave
  • flexible working hours
  • a lovely office space in which to collaborate with colleagues
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service