Product Engineering Lead - Andera

Company shown to members 🔒 · Remote · US only

US onlySeniorPublished 20 January 2026Ghost risk: high

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Senior
Where you can live
US only
Skills and tools
python, figma, shopify, typescript, aws, docker
Job type
Full-time

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Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Senior
Employer publication date
20 January 2026
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

ABOUT ANDERA

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.

What You’ll Work On

  • Designing and building intuitive workflows for reviewing complex financial data and AI agent output
  • Designing and translating Figma designs into polished, production-ready applications
  • Building a new platform from the ground up, and designing end-to-end features that span frontend, backend, and infrastructure
  • Working directly with auditors (in house and customers) to understand their workflows and pain points
  • Improving reliability, performance, and observability across the product
  • Collaborating closely with AI and systems engineers to integrate agent capabilities into the UI
  • Building the product team from the ground up

What We’re Looking For

Strong fullstack engineering skills with ownership mindset

  • You can design and ship features end to end
  • You understand how UI, backend, and data systems interact

Deep empathy for users in complex domains

  • You can work with auditors to uncover root problems
  • You can translate ambiguous feedback into clear product decisions

Strong product and design sense

  • You know what makes an interface intuitive and trustworthy
  • You can turn wireframes into clean, usable experiences

Comfort operating in high-complexity systems

  • Large datasets, asynchronous workflows, partial failures

Experience with or adjacent to our stack

  • TypeScript, Python, Temporal, Docker, Terraform, AWS Fargate

Why Andera

  • Own the core product experience from day one
  • Build software used by some of the largest companies in the world

Work closely with world-class auditors and engineers

High ownership and impact as an early team member

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Ghost Job Detector: Ghost risk: high
  • Open 10 months
  • No pay listed
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