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Careers at Extend AI
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Solutions Engineer (Pre-Sales)

$175,000 - $225,000/year
21 Jul 2025
New York, NY, USA
Verified by Turrior

Content + Source + Freshness • 11 Dec 2025 • 95% confidence

85 / 100

Offer value

Competitive compensation and growth potential in a rapidly expanding company make this opportunity appealing.

  • Strong compensation package with equity options.
  • Key role in driving enterprise-level customer experiences.
  • Opportunity to work at the forefront of AI technology.
Pros
  • Significant ownership and influence in customer success.
  • Exposure to high-stakes relationships with key enterprises.
  • Strong compensation range with performance equity.
Cons
  • Potential travel requirements could disrupt work-life balance.
  • Intense focus on customer interaction may be demanding.
  • High-pressure expectations for performance and results.

Who it's for

Mid-Level to Senior • On-site

Good fit
  • Technical engineers with customer interaction experience.
  • Candidates keen on growth in the AI product space.
  • Individuals who thrive in a collaborative, fast-paced setting.
Not recommended for
  • Those uncomfortable with sales-oriented roles.
  • Candidates lacking direct experience with enterprise clients.
  • Professionals who prefer backend or non-customer roles.

Motivation fit

Desire to engage directly with clients to drive solutions.Interest in contributing to the development of cutting-edge AI technology.Willingness to take ownership of customer success initiatives.

Key skills

Technical sales and supportRelationship management with clientsUnderstanding of AI technologiesAnalytical problem-solving
Score: 85/100 AI verified analysis

About the job

Location

New York City

Employment Type

Full time

Department

Engineering

Compensation

  • $175K – $225K • Offers Equity

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

As a Sales 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.

Why you should consider joining

  • 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.

Impact

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?

Role

  • Act as the primary technical interface for customers running POCs with Extend.

  • 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.

  • 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.

Compensation Range: $175K - $225K

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