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DiligenceSquared

DiligenceSquared

New York, NY

AI-powered commercial due diligence for investors

About

DiligenceSquared builds an AI platform that automates market research and commercial due diligence for private equity firms and investors. It uses AI voice agents to conduct expert interviews, synthesize insights, and generate auditable reports, replacing expensive manual consulting work. This enables faster, cheaper, and more transparent analysis for investment decisions.

Tech stack

React, TypeScript, Next.js, Python, Postgres, SQL, OpenAI, Anthropic, FastAPI, Supabase

Perks & benefits

Equity, Visa sponsorship

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Open jobs

4
DiligenceSquared

DiligenceSquared

New York, NY

Founding Business Lead
$160k+/yrOn-site3+ YOEBusiness Operations

Owns delivery of AI-powered commercial due diligence projects for top PE funds, managing client relationships, overseeing AI agent outputs for expert interviews and reports, and partnering with engineering on product improvements. Requires 3-6 years in MBB, PE, or IB with CDD experience.

DiligenceSquared

DiligenceSquared

New York, NY

Founding Engineer - Backend
$160k+/yrOn-site3+ YOEBackend Engineering

Founding backend engineer architects scalable AI-powered services, agent orchestration, and voice AI pipelines for automated market due diligence platform. Requires 3+ years Python backend, production APIs, LLMs, PostgreSQL, and async systems expertise.

DiligenceSquared

DiligenceSquared

New York, NY

Founding Engineer - Frontend
$120k+/yrOn-site3+ YOEFrontend Engineering

Builds and owns frontend interfaces for AI-powered market due diligence platform, transforming complex data and AI outputs into intuitive visualizations for investment professionals. Requires 3+ years React/TypeScript expertise and modern frontend architecture skills.

DiligenceSquared

DiligenceSquared

New York, NY

Founding Engineer - Fullstack
$120k+/yrOn-site3+ YOEFullstack Engineering

Founding fullstack engineer building end-to-end AI-powered features for a commercial due diligence platform used by PE funds, including backend agentic systems, voice AI, and interactive UIs. Requires 3+ years experience with React/TypeScript, Python, production LLMs, and SQL databases.