Extend
Extend
Sales Engineer
Full-time
On-site
$175k - $225k
About this role

What we're looking for?

We need a Sales Engineer with 2-4 years of experience, ideally with an engineering background, who can act as the primary technical interface for customers evaluating Extend. You should be comfortable engaging with prospects on sales calls and building trust with engineers at our customers. We are open to software engineers who are dynamic and would thrive in a customer-facing role.

What you'll do:

  • Act as the primary technical interface for customers running POCs with Extend.
  • Write the playbook for how we should work with customers and incorporate feedback across the team.
  • Build genuine relationships with end users, being on a first-name basis and traveling onsite as needed.
  • Have complete ownership over your work, owning large areas of customer success and direct relationships with large enterprises.
of professional experience in a FDE, solutions engineer, or sales engineering role OR SWE experience with strong communication skills and desire to transition into a customer-facing sales role.
Salary
$175k - $225k
Equity
Equity Included
Visa sponsorship not available
On-site work policy
This role is in-person five days a week at our office in Flatiron (29th and 7th).
Full-time position
Location
New York
About Extend

Extend is building the next generation document processing cloud. We're enabling ambitious technical & product teams to turn their messy documents into a competitive advantage.


Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.


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 enable enterprises to deploy AI agents 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 train AI agents 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?

Team size

9 people

Founded

2023

LinkedIn

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Total Funding

$17M

Press

Visit

Company locations

New York, NY
Extend company image - 1
The team
About the team

We're a small team of 9 that's fully in-person in NYC. Our backers include Homebrew, Innovation Endeavors, Character, and angels from OpenAI, Brex, Airbnb, Newfront, and more.