---
title: 'Founding AI Engineer at Vantager'
canonical: 'https://feeny.ai/job/founding-ai-engineer-vantager-new-york-ftz19mqgj5t3'
type: 'job'
last_seen: '2026-09-05'
---

# Founding AI Engineer at Vantager

- **Company:** Vantager
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2024-08-26
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/vantager/am9icG9zdDq52O6hRao-d-gqH_Vf0TPp

## Job description

## About Vantager

At Vantager, we're shaping the future of global capital allocation. We're building an AI-native platform that redefines how investors interact with private market financial data, areas traditionally challenged by unstructured data and limited regulation. We're on a high-growth trajectory, VC backed by world-class investors and unicorn fintech founders. Our platform is already empowering over 20 investment firms, collectively managing more than $100B in assets, to work faster through workflow automation and make smarter, data-driven decisions.

Our mission is bold, our technology cutting-edge, and our team is the driving force behind our success. We believe in the power of innovation, the importance of integrity, and the necessity of a collaborative environment. Our culture fosters creativity and encourages each individual to take ownership of their work. Here, every idea matters, and every contribution counts.

## What we're looking for

Vantager is seeking a passionate and experienced Founding AI Engineer. This role is perfect for a self-driven software engineer who's excited about large language models and ready to make a significant impact in the investment space. At Vantager, you'll work alongside some of the brightest minds in the industry, tackling challenging problems and making a real impact.

If you're passionate about the intersection of AI and financial data, and eager to grow in a dynamic and supportive environment, Vantager is the place for you. We're looking for independent and ambitious talent who are ready to push the boundaries of what's possible and redefine the investment landscape. Join us, and together, let's build something extraordinary.

## Responsibilities

- Architect and develop our AI-native platform, taking ownership of key product features
- Work directly with the CEO and CTO on critical product and technology decisions
- Deliver best-in-class financial task performance via LLM and RAG system optimization
- Implement a systematic approach to instrument, observe, and continuously improve our AI systems, including designing evaluation metrics and testing infrastructure
- Experiment with and lead the development of retrieval systems for efficient ingestion, processing, and generation of both structured and unstructured financial data
- Stay at the forefront of AI advancements, continuously improving our platform's capabilities and identifying new application areas within the investment process

## Qualifications

- 3+ years of software engineering experience, with strong proficiency in our tech stack: Python, FastAPI, relational databases (MySQL/Postgres), and TypeScript
- Proven track record in building, deploying, and iteratively improving LLM applications
- Deep understanding of AI and RAG concepts, including: prompting, retrieval systems, structured output, vector databases, embedding models, and LLM fine-tuning techniques
- Proven experience in designing and managing data pipelines, including ETL processes
- Interest in developing document search systems for efficient data retrieval
- Self-motivated with excellent problem-solving and communication skills

Bonus Points

- Degree from a top-tier university in Computer Science, AI, or a related field
- Experience in the finance, trading, or investment sectors
- Knowledge of data science, financial analysis, and related fields
- Familiarity with cloud platforms (AWS), serverless architecture, and Docker
- Previous experience at a startup or small-mid sized company
- Contributions to open-source projects

## Compensation

- $100k - $200k salary
- 0.5% - 1.5% equity

## About Vantager

## Company Overview
- **One-liner**: Vantager provides an AI-powered platform that streamlines pre-investment due diligence, analysis, and reporting for institutional investors in private markets.
- **Entity Type**: Private (acquired by MSCI Inc., NYSE: MSCI, in March 2026; now part of a public company)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024 (per MSCI press release; BuiltIn lists 2023)
- **Founders**: Mason Lender (Co‑founder & CEO)

## Core Business
- **Primary industry**: Private markets technology / Business Intelligence Platforms for limited partners (LPs)
- **Target customers**: Pensions & sovereign wealth funds, endowments & foundations, private wealth managers, fund of funds – all institutional investors in private markets (B2B, enterprise)
- **Mission or purpose**: Bring speed, structure, and scale to the manual, fragmented due‑diligence process for private market investors

## Products & Services
- **Vantager Platform (now MSCI Diligence Platform)**: AI‑powered data rooms, intelligent data extraction and structuring (OCR), dynamic dashboards, and automated report generation. Ingest PowerPoint, PDFs, Excel, Zip files; automatically tag and link information to its source for easy sourcing and confident decision‑making.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (acquisition terms not material to MSCI)
- **Key Metric**: $100B+ AUM of organizations using Vantager; 4,000+ funds diligenced; 50,000+ underlying investments processed
- **Notable Investors/Partners**: Acquired by MSCI Inc. in 2026. Prior investors not disclosed.
- **Growth Signals**: Rapid adoption (100B+ AUM user base), acquisition by a global leader in private assets analytics, integration into MSCI’s end‑to‑end private markets suite

## Competitive Advantages
- **AI‑native platform**: Automates one of the most manual and time‑consuming stages of private investing – due diligence
- **No data training**: Does *not* train models on customer data, addressing a key security concern for institutional clients
- **Comprehensive ingestion**: Handles unstructured data (pitch decks, spreadsheets, PDFs, zipped files) out of the box
- **Customization**: Flexible dashboards and reporting templates tailored to each LP’s workflow
- **Security**: Encryption, secure storage, and user access controls compliant with industry standards

## Strategic Focus
- **Integration with MSCI**: Embedding the platform into MSCI’s broader private assets offering to create a seamless experience from pre‑investment diligence to post‑trade analytics and benchmarking
- **Expansion**: Serving a wider range of institutional investors globally by leveraging MSCI’s distribution and data resources

## Why Work Here
- **Small team, big impact**: With ~8 employees (BuiltIn estimate; LinkedIn shows 2), engineers and product builders have outsized ownership over the platform’s direction
- **AI & private markets intersection**: Opportunity to work on cutting‑edge AI/OCR solutions applied to a high‑value, data‑intensive domain
- **Hybrid culture**: Based in New York City; employees work both on‑site and remotely (typical time on‑site expected for engineering roles)
- **Recent acquisition by MSCI**: Now offers the stability and resources of a global public company while retaining a startup‑like focus and velocity
- **Roles posted**: Founding AI Engineer and Founding Full Stack Engineer (in‑office in NYC) – ideal for early‑stage builders who want to shape the product from the ground up

## Sources
1. [Vantager Website](https://www.vantager.com/)
2. [MSCI Press Release – Acquisition of Vantager](https://www.msci.com/discover-msci/media-room/msci-transforms-private-markets-pre-investment-diligence-with-acquisition-of-vantager)
3. [BuiltIn – Vantager Company Profile](https://builtin.com/company/vantager)
4. [LinkedIn – Vantager](https://linkedin.com/company/vantager)

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