Product Engineer
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Aug 13, 2026.
About Andera
Andera is building reliable AI agents for back-office finance, 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 Engineer to build the product our auditors and customers actually touch. Our agents turn weeks of audit work into minutes of review - the review surface has to make that output legible, trustworthy, and fast to act on.
This is a high-ownership role with responsibility from design through deployment.
What You'll Work On
Designing and shipping the review surfaces auditors use to verify and correct agent output
Building fault-tolerant, end-to-end features that integrate cleanly with the broader codebase
Rendering huge, messy financial datasets in interfaces that stay fast and understandable
Sitting with auditors, watching real workflows, and turning what you learn into product in days
Debugging edge cases and performance bottlenecks across the frontend and the services behind it
What We're Looking For
Strong fullstack engineering ability - You can be trusted to ship fault-tolerant features end to end, and you understand how your changes interact with the rest of the system.
Real product instincts - You care how something feels to use, you can make design calls without a spec, and you cut scope to ship.
Speed with judgment - You iterate fast in front of users without leaving a mess behind you.
Comfort learning non-engineering domains quickly - You can absorb audit concepts from domain experts and turn them into working software fast.
Experience with or adjacent to our stack: TypeScript, Python, Temporal, Docker, Terraform, AWS Fargate