---
title: 'Software Engineer, Revenue Systems at Nomic'
canonical: 'https://feeny.ai/job/software-engineer-revenue-systems-nomic-new-york-yfm5hqy1s29j'
type: 'job'
last_seen: '2026-09-07'
---

# Software Engineer, Revenue Systems at Nomic

- **Company:** Nomic
- **Location:** New York, NY
- **Employment:** full-time
- **Posted:** 2026-06-02
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/nomic.ai/da282588-a792-4c7f-b14c-f284dfb02be1

## Job description

## SENIOR ENGINEER, REVENUE SYSTEMS

Location: NYC Reports to: CTO

## ABOUT NOMIC

Nomic builds AI agents and developer tools that power the built world. We help enterprise teams in architecture, engineering, and construction extract structured knowledge from decades of drawings, specs, and project files. Our platform combines embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.

## THE ROLE

Revenue systems are the connective tissue between what we sell and what we ship. We're hiring a Senior Engineer to own that surface—the integrations, data models, and pipelines that keep contracts, usage, and invoicing consistent and correct as we scale.

Strong software engineering experience is the requirement. Revenue systems domain experience matters more than payments-infrastructure-from-scratch experience. The job is correctness: making sure the right things get billed, that HubSpot, our platform, and Tabs agree with each other, and that the whole pipeline runs without manual intervention.

This is a senior IC role with broad ownership and real architectural influence.

## WHAT YOU'LL OWN

- HubSpot integration — deal terms and contract data flowing reliably into the platform; CRM and platform staying in sync
- Contract and entitlement modeling — representing what's billable, what's recognized, and how contract terms map to data
- Tabs integration — usage and entitlements flowing out to invoicing automatically and correctly
- Reconciliation — keeping multiple sources of truth consistent and surfacing discrepancies before they become problems
- Integration standards — establishing the quality bar for how revenue-systems integrations get built and maintained going forward

## WHAT WE'RE LOOKING FOR

- Strong systems integration and data modeling skills — API/webhook integration, reconciliation, keeping sources of truth consistent
- Revenue or accounting domain sense — you understand how contracts, usage, and entitlements map to money
- Comfortable building greenfield against tools that aren't fully spec'd yet
- Production experience in Python and/or TypeScript
- A correctness-first mindset — edge cases in billing aren't acceptable

## EVEN BETTER IF YOU HAVE:

- Experience with CRM integrations (HubSpot, Salesforce, or similar)
- Background in billing, invoicing, or usage-based pricing systems
- Familiarity with B2B SaaS contract models — seat licenses, usage tiers, entitlements
- Experience scaling revenue operations without adding headcount per customer

## HOW TO APPLY

Send a cover letter describing:

- A system you've built to keep two or more data sources consistent
- How you think about correctness in financial or billing contexts
- Tools and languages you'd reach for on day one

## About Nomic

## Company Overview
- **One-liner**: Nomic is a domain-specific AI platform that transforms unstructured data into AI-ready knowledge for architecture, engineering, and construction (AEC) firms.
- **Entity Type**: Private (Series A, $17M total funding)
- **Headquarters**: New York, New York, United States
- **Founded**: 2022
- **Founders**: Andriy Mulyar (CEO) and Ben Schmidt (CTO)

## Core Business
- Primary industry: Artificial Intelligence for AEC (Architecture, Engineering, Construction)
- Target customers: B2B – architecture firms, engineering consultancies, general contractors, specialty contractors, project managers, design teams
- Mission: "Accelerating the design and construction of the built world through AI."

## Products & Services
- **Nomic Platform**: AI agents that automate AEC workflows—RFP responses, QA/QC reviews, code compliance, document parsing, and intelligent search across drawings, specs, and project data. SaaS platform.
- **Developer API**: RESTful APIs (nomic-embed-text, nomic-embed-vision, drawing parse) with Python and JavaScript SDKs. Trained on 100,000s of drawings and project files. Supports PDFs, images, CAD files, and more.
- **GPT4All**: Open-source tool to run AI models locally on any device with no cloud connection required. Cross-platform (Windows, Mac, Linux). Focus on privacy and offline inference.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Total Funding $17M (Series A, July 2023, led by Coatue with 12 investors); Estimated annual revenue ~$1M per LinkedIn
- **Notable Investors/Partners**: Coatue (lead), 12 investors; Partnership details not publicly listed
- **Growth Signals**: Headcount of 16 (+10% YoY; +4.8% monthly); LinkedIn followers 8,022 (+30% YoY); Active hiring for Senior Software Engineer, Senior Platform Engineer, Account Executive (APAC), Customer Success Manager, and Growth Engineer

## Competitive Advantages
- Domain-specific AI models trained exclusively on AEC content (100,000s of drawings and project files) – reduces hallucinations common in generic AI.
- Zero data retention policy; legally binding agreements with external providers; flexible deployment (cloud, on-premise, hybrid, private cloud) – strong data security and privacy.
- GPT4All open-source project builds brand credibility in the AI developer community and enables privacy-first local inference.
- Focus on institutional knowledge capture for AEC firms, turning scattered documents into AI-ready, actionable insights.

## Strategic Focus
- Expand domain-aware AI agents to automate critical AEC workflows (submittal reviews, code compliance, RFPs).
- Grow international sales presence (APAC region hiring).
- Deepen developer platform with more API capabilities and SDKs.
- Publish research (white papers, academic publications) to establish thought leadership in AEC AI.

## Why Work Here
- Early-stage startup (16 employees, Series A) offering significant ownership and impact across engineering, product, and go-to-market.
- Hybrid work model based in New York, NY (most roles listed as Hybrid).
- Cutting-edge AI research environment with open-source contributions (GPT4All, research publications).
- Strong security-first culture; engineers work on infrastructure for autonomous agents, compliance, and data governance.
- Diverse distributed team (USA, Canada, Ukraine) with a collaborative, mission-driven atmosphere.

## Sources
1. [nomic.ai](https://www.nomic.ai/) (Platform, Developer, Careers, Security, GPT4All pages)
2. [linkedin.com](https://www.linkedin.com/company/nomic-ai)
3. [builtin.com](https://builtin.com/company/nomic-ai/jobs)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/nomic.ai)

## Other roles at Nomic

- [Account Executive, Middle East](https://feeny.ai/job/account-executive-middle-east-nomic-dubai-29kmsjjf8jsx) — Dubai, United Arab Emirates
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-nomic-new-york-vfzpqbfbk4c7) — New York, NY
- [Account Executive, SMB](https://feeny.ai/job/account-executive-smb-nomic-new-york-amz41v25v0aw) — New York, NY
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-nomic-new-york-mqg843vvx8db) — New York, NY
- [Senior Platform Engineer](https://feeny.ai/job/senior-platform-engineer-nomic-new-york-a3edyz963v3t) — New York, NY
- [Harness Engineer](https://feeny.ai/job/harness-engineer-nomic-new-york-x9ckqfk22x4d) — New York, NY
- [Domain Expert in Residence](https://feeny.ai/job/domain-expert-in-residence-nomic-new-york-084waf80778v) — New York, NY
- [General Application](https://feeny.ai/job/general-application-nomic-new-york-77vrzeqqt0ft) — New York, NY