Forward Deployed Engineer
Company websiteextend.ai (Extend, opens in new tab)
Base salary $175K to $250K
Employer-published annual base salary, USD. Advertised base range in New York City, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York City, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
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 at all stages of the customer lifecycle. 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 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
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 challenges you’ll solve:
Enable enterprises to gain confidence in deploying AI
Build solutions to handle never before seen edge cases in customer data
Inspire non-technical domain experts to take ownership over LLM-based extraction instructions
Architect the ideal evaluation experience for customers to create champions and advocates
Help customers understand tradeoffs between latency, cost, and performance, and make the best decision for their use case
Role
Design and architect solutions to solve complex customer problems using Extend as the primary tool
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’ll need to figure out what problems other teams are experiencing, and naturally grow Extend within an organization. You’ll have the ability to travel onsite as needed
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) and addressing requirements before they become blockers
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
Have complete ownership over the work you do — as a founding team member, you’ll work directly with the CEO, CTO, and others to truly own large areas of customer success and have direct relationships with large enterprises
Benefits
Beyond the below, we care deeply about each of our candidates on a personal level. We take the time to understand your needs to craft a package designed for you:
Insurance - 90% health insurance premium coverage
Relocation - for candidates based outside of NYC
Unlimited PTO policy - we trust everyone like owners, take what you need
Daily lunch & snacks covered (plus dinner if you're in the office late) - you'll never go hungry and you help pick the snacks
Unlimited token / tooling access - no handicaps on your productivity
Learning and development investment - we invest heavily in our team and support your growth
Extend is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, citizenship status, marital status, pregnancy, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Source: Extend on Ashby · View original posting (opens in new tab)
This listingForward Deployed Engineer$175K to $250K
Founding GTM Ops Lead$175K to $200K
Applied AI/ML Engineer$200K to $350K
Machine Learning Researcher$200K to $350K
Start-up / Field Marketing Lead$140K to $200K
Staff Software Engineer$250K to $300K
Chart as a table
| Role | Published base |
|---|---|
| Forward Deployed Engineer (this listing) | $175K - $250K |
| Founding GTM Ops Lead | $175K - $200K |
| Applied AI/ML Engineer | $200K - $350K |
| Machine Learning Researcher | $200K - $350K |
| Start-up / Field Marketing Lead | $140K - $200K |
| Staff Software Engineer | $250K - $300K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2024-12-15
Where this pay comes from
Location as the employer wrote it: New York City
USD 175,000 – 250,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
