---
title: 'Revenue Operations at Endex'
canonical: 'https://feeny.ai/job/revenue-operations-endex-new-york-drv9023tcb92'
type: 'job'
last_seen: '2026-11-10'
---

# Revenue Operations at Endex

- **Company:** Endex
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-07
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/endex/753e780e-a816-40ed-98d3-088eebb17de9

## Job description

## Who We Are

Endex builds AI agents that handle complex, end-to-end work for the world's most demanding teams. Today we're deployed across leading financial institutions and Fortune 500 companies, embedded in the tools and workflows they rely on. We operate at the frontier of agentic knowledge work, partnering closely with top AI research labs and backed by the OpenAI Startup Fund. We're on a mission to build the most capable digital coworker in the world.

## About the Role

Location: New York City (Primary), Denver, Chicago, Singapore (APAC), London, San Francisco, Austin, Los Angeles Commitment: 5 Days In-Person We're looking for someone who can make the commercial engine easier to run, measure and improve as Endex grows. In Revenue Operations at Endex, you'll own the systems and operating rhythm behind pipeline, forecasting and revenue reporting. You'll connect sales, partnerships and customer success data, maintain pricing processes and give the team a dependable view of what needs attention.

## Your Key Responsibilities

- Own Revenue Process Design: Maintain routing rules, territory and account coverage, lifecycle definitions and the CRM structure behind commercial execution.
- Make Forecasts Useful: Build pipeline and conversion reporting, establish clear review cadences and investigate the data behind unexpected changes.
- Connect the Lifecycle: Align sales and customer success handoffs so new business, expansion and renewal records tell a consistent story.
- Maintain Pricing Processes: Keep approved pricing rules, product packaging and exception tracking consistent with commercial decisions.
- Improve Execution: Identify friction in the revenue process and implement practical changes with the teams using it.

## What We're Looking For

- Sales Operations Experience: You've supported a B2B sales organization with hands-on systems work.
- CRM Fluency: You understand records, workflows, reports and the consequences of changing them.
- Analytical Rigor: You reconcile conflicting numbers before drawing conclusions.
- Practical Operator: You make a process easier to use while preserving accountability.
- Systems and Data Judgment: You can diagnose a reporting problem, distinguish process design from system configuration and work with systems owners to fix the cause.

## Nice to Have

- Experience with HubSpot or Salesforce
- SQL or business intelligence skills
- Experience with CRM reporting, spreadsheet models and SQL or a comparable analytical tool

Full-Time Benefits

- Health & Dental Insurance
- Monthly Wellness Stipend
- 401K Matching

## About Endex

## Company Overview
- **One-liner**: Endex is an Excel-native AI Agent that accelerates financial modeling and data analysis for investment professionals.
- **Entity Type**: Private (Venture-backed; $14M led by OpenAI Startup Fund)
- **Headquarters**: New York City, New York, United States
- **Founded**: 2022
- **Founders**: Tarun Amasa (CEO) and Pratham Soni (Chief Research Officer)

## Core Business
- **Primary industries**: AI-powered financial analysis / Financial technology
- **Target customers**: B2B – enterprise finance teams at investment banks, hedge funds, private equity firms (clients include Fortune 5 companies, $100B+ AUM firms, and top global investment banks)
- **Mission/purpose**: “AI Built for Excel” – to accelerate and automate the work of financial analysts by bringing advanced AI directly into the spreadsheet environment.

## Products & Services
- **Endex AI Agent**: A native Excel add-in that enables users to perform financial modeling, data analysis, deep research, and report generation using natural language. Key capabilities include:
  - **Trace References**: AI-labeled tracing of cell references across complex workbooks.
  - **Deep Research Integration**: Native access to OpenAI Deep Research with contextual understanding of the workbook and verified sources.
  - **Memories**: Remembers user preferences for style and recurring workflows.
  - **LLM Integrations**: Deeply integrated with major model providers (OpenAI GPT-4o, o1, o3-mini) with zero data retention agreements.
  - **PDF to Table Conversion**: Eliminates manual data entry from financial statements, pitch decks, and research reports.
  - **Formatting Shortcuts**: Apply consistent formatting instantly with customizable keyboard shortcuts.
  - **Firm Templates**: Create repeatable templates that autocomplete with new input data.
  - **Undo Changes**: One-click revert of unwanted changes.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding – $14M (venture round closed August 2025)
- **Notable Investors/Partners**:
  - Lead investor: OpenAI Startup Fund
  - Partners: Wall Street Prep, Columbia Business School
- **Growth Signals**:
  - Headcount grew 68.8% YoY (from ~11 to 20 employees)
  - LinkedIn followers grew 122.1% in the past year
  - Expanding presence: offices in NYC (HQ), with team members in Israel, Canada, and Brazil
  - Adoption by top-tier financial institutions (Fortune 5, hedge funds, private equity firms)
  - Featured in OpenAI case study as a model partner for building autonomous financial analysts

## Competitive Advantages
- **Excel-native**: Works directly inside Excel – no need to switch applications or learn new interfaces.
- **Finance-specific LLMs**: Custom-built models trained to understand financial documents, accounting methods, and complex charts.
- **Auditable outputs**: Every AI output includes integrated citations and attribution to underlying sources, allowing analysts to trace conclusions.
- **Deep OpenAI integration**: Uses OpenAI’s o1 and o3-mini reasoning models, achieving 70% preference over non-reasoning models in blind tests and enabling multi-step financial reasoning.
- **Enterprise-grade security**: AES-256 encryption in transit and at rest, TLS 1.2/1.3, SOC 2, ISO, CCPA, and GDPR compliant.

## Strategic Focus
- Scaling autonomous analyst capabilities to handle increasingly complex financial tasks (e.g., IC memo preparation, data room due diligence, precedent transaction analysis).
- Expanding customer base among financial firms and refining AI agents to act as true “co-workers” for investment teams.
- Continuing close collaboration with OpenAI to push the boundaries of vertical-specific AI for finance.

## Why Work Here
- **Culture**: Fast-moving AI startup backed by OpenAI, working on cutting-edge reasoning models applied to a high-stakes domain. Team is small (~20 people) with a technical majority (37% of headcount in engineering/research).
- **Remote/Hybrid**: Offices in New York City (HQ) and team members across Israel, Canada, and Brazil – likely flexible work arrangements.
- **Notable perks/engineering culture**:
  - Direct access to OpenAI’s latest models and research collaboration.
  - Opportunity to solve hard problems in financial AI (multimodal analysis, agentic workflows, reinforcement fine-tuning).
  - Emphasis on continuous evaluation and improvement – the team tracks metrics like response latency and reasoning depth.
  - Recent hires from top firms (Jump Trading, Two Sigma, Shopify) and university partnerships (Columbia Business School).

## Sources
1. [endex.ai](https://endex.ai/)
2. [linkedin.com/company/endexai](https://www.linkedin.com/company/endexai)
3. [openai.com/index/endex](https://openai.com/index/endex/)
4. [tracxn.com](https://tracxn.com/d/companies/endex/__1yPXQtxYejdoTb241G65VMwfNLRug0vfLus7qJxeNvo)

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