Extend is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data.
As a Solutions Engineer at Extend, you'll act as the primary technical interface for customers evaluating 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 400% 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
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 architect the ideal evaluation experience for customers?
How do we enable customers to become experts at using our product?
How do we help customers understand tradeoffs between latency, cost, and performance, and make the best decision for their use case?
Design and architect solutions to solve complex customer problems using Extend as the primary tool
Act as the primary technical interface for customers evaluating and running POCs with Extend
Inspire confidence with technical champions by answering deep technical questions (API architecture, security, parsing mechanisms, on-prem deployments)
Uncover and address technical requirements before they become blockers, going to a level of depth beyond what an AE can handle
Diagnose and resolve technical issues quickly when customers encounter problems with schemas, prompts, and processor configurations
Give compelling product demos that translate complex technical concepts into easy-to-understand value propositions
Run and manage POCs from planning through execution, ensuring prospects hit their success criteria
Partner closely with Account Executives to flip technical champions and progress deals
3+ years of experience in a Sales Engineering or Solutions Engineering role
Proven track record selling technical products to developers and technical decision makers
Strong technical foundation with the ability to discuss architecture, APIs, and integration patterns fluently
Learns extremely fast — You'll need to ramp up quickly on our product and stay current with rapid changes
Exceptional interpersonal skills — You give energy rather than take it away and leave people feeling better than before
Strong listening skills and curiosity — You deeply understand customer problems before prescribing solutions
Resilience and problem-solving mindset — When prospects bring up issues, your response is "No problem, here's how we can help"
Intellectual honesty — You never bullshit. When you don't know something, you admit it and follow up quickly with the answer after the call
Presentation skills — Comfortable presenting to technical and executive audiences alike
This is an in-person role in NYC. We work in a high-performance culture where everyone has outsized impact. If you're excited about working at the pace of a startup (we work hard and long hours), building something transformative, and joining at the perfect inflection point, we'd love to hear from you.
Extend