Forward Deployed Engineer

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

As a Forward Deployed Engineer at Extend, you’ll act as the primary interface between customers and Extend. We’re looking to hire engineers who obsess over customer pain, relentlessly focus on the details, operate with high agency, and want to empower organizations with AI.

• We've grown revenue 15x 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.

Ensuring our customers can successfully deploy LLMs into production is critical, and comes with never before seen challenges. We need to make sure we’re world class at this.

Here's a few of the complex problems you’ll be working on:

• How do we enable enterprises to gain confidence in deploying AI?

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

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

• How do we enable customers to become experts at prompt engineering?

• How do we help customers understand tradeoffs between latency, cost, and performance, and make the best decision for their use case?

• Write the playbook for how we should work with customers, and how we should incorporate feedback and learnings across the team.

• Build genuine relationships with our end users. You should be on a first-name basis over iMessage, and you’ll have the ability to travel onsite as needed.

• Companies have a lot of unstructured data — you’ll need to figure out what problems other teams are experiencing, and naturally grow Extend within an organization.

• Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of customer success and have direct relationships with large enterprises.

• Work directly with the CEO, CTO, and other founding members and help build out our team.