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Nomic AI

On-device AI and data visualization platform

Software Engineer - Revenue Systems

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedIn-person

About the Job

Requirements

  • Strong systems integration and data modeling skills, including API and webhook integration, reconciliation, and keeping sources of truth consistent.
  • Revenue or accounting domain knowledge, including understanding how contracts, usage, and entitlements map to money.
  • Comfort building greenfield systems against tools that are not fully specified.
  • Production experience in Python and/or TypeScript.
  • A correctness-first approach to billing edge cases.

Responsibilities

  • Own the HubSpot integration, ensuring deal terms and contract data flow reliably into the platform and that the CRM and platform remain synchronized.
  • Own contract and entitlement modeling, representing what is billable, what is recognized, and how contract terms map to data.
  • Own the Tabs integration, ensuring usage and entitlements flow automatically and correctly to invoicing.
  • Reconcile multiple sources of truth and surface discrepancies before they become problems.
  • Establish integration standards and the quality bar for building and maintaining revenue-systems integrations.

Desired Qualifications

  • Experience with CRM integrations such as HubSpot, Salesforce, or similar systems.
  • Background in billing, invoicing, or usage-based pricing systems.
  • Familiarity with B2B SaaS contract models, including seat licenses, usage tiers, and entitlements.
  • Experience scaling revenue operations without adding headcount per customer.

About the Company

Nomic AI

On-device AI and data visualization platform

Nomic AI offers tools to deploy AI across unstructured data such as text and images. Its core product, Nomic Atlas, visualizes large datasets and AI model outputs with mapping and clustering, and provides production-ready APIs for easy integration. GPT4All runs large language models on-device for private, offline AI interactions, ensuring data privacy. The company blends a commercial data-visualization/AI-deployment platform with open-source tools (including MIT-licensed embeddings) for developers and business leaders who want to analyze data, collaborate, and deploy AI with privacy options.

Company size
11-50
Company stage
Early VC
Total funding
$17M
Headquarters
New York City, New York
Founded
2022

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