Andera is building reliable AI agents for back-office financial work, starting with automating audits for the world’s largest public companies. Audits have resisted automation for decades due to the scale and instability of the underlying data. Large companies generate hundreds of millions of tokens of financial data across massive spreadsheets with constantly changing formats. Even understanding a single document can take expert auditors six or more hours, and a typical audit involves many of them. We’re building agents that can parse, interpret, and reason over data of this complexity—compressing gigabytes of messy financial information into representations that LLMs can work with reliably. The result is turning weeks of manual audit work into minutes of review. This work requires long-horizon reasoning, robust data systems, and production-grade reliability—and it forms the foundation for automating some of the most complex financial workflows in the world. Founding Team Andera is built on the belief that this problem can only be solved by pairing elite auditors with elite engineers. Engineering team: Alumni of MIT, Berkeley, and Waterloo, with experience at Jane Street, Stripe, Shopify, and Microsoft. Audit team: Former #1 performers at Deloitte and leaders of national finance practices at Revolut. The Role We’re hiring a Product Engineering Lead to own the primary product experience used by professional auditors. You’ll be responsible for designing and building interfaces that surface large, complex financial datasets and make AI agent output understandable, auditable, and trustworthy. This is a high-ownership role with direct impact on adoption, trust, and product quality.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees