Staff Software Engineer

About the role

Extend https://extend.app is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data.

As a Software Engineer at Extend, you’ll be responsible for building our core platform that companies use to deploy document processing. We’re looking to hire exceptional engineers who care about crafting intuitive product experiences, relentlessly focus on the details, and operate with high agency.

WHY YOU SHOULD CONSIDER JOINING

- We've grown revenue 4x last year to several million ARR, with our growth continuing to accelerate

- We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more

- The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS

- We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact

- We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join.

- You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership

- We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces

- You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly

We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap.

IMPACT

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

- How do we build the most accurate document ingestion system?

- How do we enable enterprises to deploy LLM-powered document processing into production with confidence?

- How do we handle never before seen edge cases in customer data?

- How do we build a self-correcting system that automatically gets better over time?

- How do we enable non-technical domain experts to improve models with their expertise & business logic?

- How do we help customers make tradeoffs between latency, cost, and performance?

- How do we build reliable systems that can process large data streams in real-time?

ROLE

- Build, and maintain, durable, scalable systems capable of processing 10s of millions of data points per month.

- Design and implement the best human ↔ AI interfaces for designing and understanding document processing. We are building a new territory of UX that previously did not exist. It’s up to us to discover and implement new patterns that work for our users.