Software Engineer

About EliotNest

The U.S. government loses hundreds of billions of dollars every year to fraud — in healthcare reimbursements, trade and tariff evasion, government loans, and relief programs. The data needed to uncover this fraud exists in payments, public filings, contracts, and ownership records, but it’s scattered across systems, inconsistent, and hard to connect at scale.

EliotNest builds the intelligence platform that turns that data into evidence. We unify and transform messy datasets, resolve entities and ownership, and surface patterns that support investigations. Our platform helps prosecutors, law enforcement, and investigative agencies identify complex fraud schemes, trace ownership webs, and build stronger cases against bad actors.

We’re a small, technical founding team with deep experience in data systems, public integrity, and prosecution. We’re building a product that fundamentally expands the government’s capacity to pursue fraud and protect the public. We raised a $9.5M seed round in 2025 and we’re seeking exceptional talent to expand our team.

The Role

A blend of data engineer, analytics engineer, and product-minded full-stack builder. You’ll work closely with former prosecutors to understand how real investigations work, then translate that into data systems and products.

You’ll own core infrastructure across the stack — with a heavy emphasis on data modeling, ingestion, analysis, and internal tools that help us understand fraud faster. As one of our first engineers, you’ll shape our long-term architecture, technical standards, and product capabilities, and your decisions will compound as the team and platform grow. This is a high-impact, high-ownership role for someone who loves data, investigations, and building systems that drive positive public impact.

Who You Are

• Founder mentality: You own problems end-to-end, care deeply about impact, and do what it takes to move the mission forward.
• Experienced builder: You’ve shipped data-heavy products on small teams, are comfortable wearing multiple hats across the stack, and love turning abstract and complex ideas into working systems fast.
• AI-native & pragmatic: Hands-on with LLMs and vector search; you know how to structure data and retrieval so AI outputs are grounded, explainable, and auditable.
• Relentlessly Mission-Driven: You care deeply about public-integrity work and bring focus, stamina, and follow-through to problems that matter. You’re comfortable in fast-moving, high-intensity environments—including long hours—because you love the work.
• Based in NYC: We work in person and have an office in Nomad.



Why EliotNest

• Founding-team ownership and influence: Help define the architecture, data models, and systems that everything else will be built on — and shape our engineering culture from day one.
• Massive, meaningful data challenges: Work with some of the most complex, high-stakes datasets out there and turn them into something investigators can actually use.
• AI systems for real-world investigations: Build retrieval and analysis workflows where every improvement you ship can help uncover a fraud scheme or strengthen a case.
• Direct public impact: Your work will equip prosecutors and investigative agencies with better tools to protect public funds at scale.
• Competitive compensation + significant equity: You’ll be joining at the ground floor, with meaningful ownership and upside as we grow.