Engineer - Fullstack
DiligenceSquared - New York City | OnSite
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
- Not verified
- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Engineer - Fullstack New York City | OnSite We're looking for a Software Engineer with deep expertise in full-stack development to help develop the next-generation AI platform for market due diligence. You'll own complete features end-to-end - from AI-powered backend systems to polished frontend interfaces that investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A use to make billion-dollar decisions. About DiligenceSquared DiligenceSquared automates commercial due diligence for Private Equity funds. We're YC-backed, just raised a significant Seed round, and our clients include some of the world's largest PE funds. The market is $10B+ annually - PE funds pay McKinsey, BCG, and Bain $500K-$1M per report. Our AI agents do this work faster, cheaper, and with higher accuracy than any human. Our founders bought and sold these reports at Blackstone and BCG where they held senior positions. We have deep experience with the workflows and know exactly what the market needs - and now we're automating it. What you will do: - Build new product features and experiences end-to-end, everything from database models to API endpoints, and integrating them with UI components for our Web App and AI Voice Agent application - Design and build new AI-powered modules from scratch (e.g., market sizing, competitive analysis) that become core capabilities of our research platform - Build and own product foundations across the stack (AI agent orchestration, voice AI pipelines, interactive data visualization, app and API performance, intelligent automations) - Apply learnings from each project into the product, so
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