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Extend

Production-grade document processing for AI teams

Founding GTM Operations Lead - GTM / Rev Ops

Full-TimeUpdated on 10/1/2026
$175k - $200k/yr
Mid
New York, NY, USA
In PersonIn-person in New York City.
Company Does Not Provide H1B Sponsorship

About the job

Requirements
  • Ability to own the go-to-market and revenue-operations mandate in a rapidly scaling startup.
  • Ability to build and operate deal-desk, customer relationship management, go-to-market systems, forecasting, planning, lead routing, territory management, enablement, and automation processes.
  • Ability to build with artificial intelligence and raise the technical capabilities of non-technical colleagues.
  • Ability to use first-principles thinking to build systems that solve real problems.
  • Ability to analyze data and use findings to improve team performance.
  • Ability to operate effectively in ambiguity and build a go-to-market engine from scratch.
Responsibilities
  • Build the quote-to-close machine and run point on the enterprise sales process, instrumenting the process to identify where deals stall and how long each gate takes.
  • Build the source-of-truth data foundation, evaluate and drive adoption of the go-to-market stack, and design compensation and quota systems.
  • Run the weekly forecast and pipeline-review cadence, build capacity models, identify pipeline leakage, and provide recommendations.
  • Design and operate inbound routing, qualification service-level agreements, and account scoring against the ideal customer profile.
  • Build territory and coverage models that support adding sales representatives without operational disorder.
  • Support representative enablement and ship agents, skills, and automations for research, account planning, customer relationship management enrichment, call summarization, and follow-up.

About the company

Extend builds production-grade document processing infrastructure for AI teams. Parse, its document parsing API, extracts structured data from PDFs and other unstructured documents at scale. It includes confidence scoring, multi-pass review agents, fast and accuracy-optimized processing modes, and Studio for schema iteration without CLI. Its goal is to help enterprise AI teams automate and scale accurate data extraction with traceability and reliability.

Company Size

11-50

Company Stage

Series A

Total Funding

$17.6M

Headquarters

New York City, New York

Founded

2023

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Simplify's Take

What believers are saying

  • August 2026 Light Parse cut costs to $0.00625 per page, over 50% cheaper.
  • Extend says legal AI customers already halved OCR spending after switching.
  • JobPin showed 17 open roles on September 21, 2026, signaling active hiring.

What critics are saying

  • LlamaParse, UiPath, and AWS Textract compress pricing and features daily.
  • Revelio counted 252 employees in March 2026, down 24.7% from 2023.
  • If benchmark leadership slips, buyers standardize on cheaper generic OCR and kill Extend.

What makes Extend unique

  • September 2026 Light Parse won RealDoc-Bench among non-agentic parsers.
  • Extend bundles Parse, workflows, evaluations, and Studio into one versioned operating layer.
  • Extend reports 95.7% Parse accuracy and 99.2% MAX extraction across benchmarked PDFs.

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Benefits

Company Equity

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

↑ 3%

1 year growth

↑ 3%

2 year growth

↓ -8%
Associated Press
Sep 22nd, 2026
Extend's Light Parse achieves 90.5% accuracy at sub-cent document processing cost

Extend, a document processing platform for developers, has released performance results for its Light Parse engine on two open-source benchmarks. Light Parse achieved 90.5% field-level accuracy on RealDoc-Bench and 54.9% question-answering accuracy on Databricks OfficeQA Pro, whilst costing $0.00625 per page. The engine is designed for text-heavy, high-volume documents such as reports and contracts. Both benchmarks test whether AI systems can answer questions correctly using parsed document output. Extend reports Light Parse placed first among non-agentic parsers on both benchmarks. The company says customers in sectors including legal AI have halved their OCR spending after switching to its solution. Developers can select between Light Parse and the company's Performance Parse engine via API or Extend Studio.

PR TIMES
Jul 28th, 2025
ExtenD Completes Funding for Diamond Sensors

株式会社ExtenD, a startup from the National Institute of Advanced Industrial Science and Technology, completed a seed funding round in June 2025. The funding, amount undisclosed, was led by Samsung Diamond Industrial Co., Ltd. and Saga Bank Capital & Consulting. The funds will be used for R&D and commercialization of diamond materials, talent acquisition, and business expansion. ExtenD aims to create new markets with its advanced diamond sensor technology and AI integration.

Homebrew
Jul 19th, 2025
Extend Secures $17M for Document Processing

Extend has raised $17 million to enhance its document processing cloud, which offers a full stack pipeline for converting documents into data with over 99% reliability and custom workflows. Unlike generic LLM models, Extend caters to a wide range of formats and is trusted by companies like Brex, Square, and multiple Fortune 500s. The new funding will support the launch of a sandbox feature, allowing users to easily process documents on the Extend platform.

Intelligence360 News
Jun 26th, 2025
Extend Secures $17M for Document Processing

Extend, an AI-native document processing platform, has raised $17 million in seed and Series A funding led by Innovation Endeavors, with participation from Y Combinator and others. The funding will accelerate Extend's go-to-market efforts and product development. Extend's platform uses large language models to transform complex PDFs into structured, validated data with over 95% accuracy, serving industries like healthcare and finance. Customers include Brex, Square, and Flatiron Health.