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Niural

Global payroll, HR, and compliance platform

AI Product Operator

AI Application Engineering +1Updated on Nov 10
Full-timeNew York, NY, USA$80k - $120k

About the Job

Requirements

  • 2-4 years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript.
  • A track record of building and deploying web applications such as React, Next.js, Node.js, FastAPI, or equivalent that people use every day.
  • Deep experience with AI/LLM APIs, including prompt engineering, function calling, and structured outputs.
  • Experience building multi-step AI workflows or agent-based systems that run reliably in production, not just prototypes.
  • Hands-on experience with RAG architectures, vector databases such as Pinecone, Weaviate, or pgvector, and document-processing pipelines.
  • Comfort with databases such as SQL and PostgreSQL, and API integrations such as REST and webhooks.
  • Experience deploying, monitoring, and maintaining applications in production using Docker and cloud platforms such as AWS, GCP, or Vercel.
  • Fluency with AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot.
  • Ability to work directly with non-technical stakeholders, translate their needs into requirements, and push back when something is not worth building.

Responsibilities

  • Partner with the Product Manager to identify, scope, and prioritize automation opportunities based on time saved and business impact.
  • Work directly with department leads to understand their workflows and define what done looks like.
  • Track and report on tools' impact, including hours saved, error reduction, and adoption.
  • Develop and deploy full-stack internal applications, including web apps, dashboards, and admin panels, for Operations, Data Research, Accounting, Sales, and Marketing teams.
  • Use frameworks such as React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use.
  • Own the full lifecycle of internal applications: build, deploy, monitor, and iterate.
  • Design and build complex, multi-step AI workflows using LLM APIs, agent frameworks, and RAG pipelines.
  • Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge-base question answering.
  • Implement prompt engineering, evaluations, output validation, and error handling to ensure AI systems perform reliably at scale.
  • Monitor model performance and cost, and decide when to use AI versus simpler rules-based logic.
  • Build integrations between internal systems, including HRIS, payroll engines, CRMs, databases, Slack, email, and spreadsheets, to eliminate manual data transfer.
  • Create data pipelines that automate reporting, reconciliation, and exception handling for Accounting and Operations teams.
  • Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries.
  • Handle sensitive payroll and personal data responsibly with proper access controls, logging, and security practices.
  • Use Claude Code and other AI-assisted coding tools daily to accelerate development.
  • Prototype rapidly, validate with real users, and iterate.
  • Set up shared foundations, including repository structure, deployment, monitoring, and documentation, so tools can be maintained and extended by others.
  • Build lead enrichment, CRM hygiene, and outbound personalization workflows.
  • Create content-generation and repurposing pipelines for the Marketing team.
  • Develop internal tools that give the Sales team faster access to prospect and market data.
  • Review code and guide AI Operator interns on architecture, best practices, and shipping quality work.
  • Share what is built and teach teammates how to get the most out of AI tools.

Desired Qualifications

  • Familiarity with automation platforms such as n8n, Make, and Retool for rapid prototyping.
  • Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations.
  • Experience with agentic frameworks such as LangGraph and CrewAI.
  • Understanding of global payroll compliance, tax regulations, or labor laws.

About the Company

Niural

Global payroll, HR, and compliance platform

Niural provides a global payroll and HR platform that lets businesses hire, manage, and pay employees and contractors across multiple countries. It combines payroll, HR, and compliance tools in one system and serves high-growth startups and mid-sized companies expanding internationally. The product works by using a centralized, subscription-based platform powered by an AI engine called EMMA, an executional AI coworker that automates tasks related to payroll, compliance, and payments. This setup helps organizations stay compliant with local tax and labor laws while reducing administrative work and the risk of errors or violations. Niural differentiates itself through its AI-driven automation and integrated workflow (payroll, benefits administration, PEO services, and compliance) designed specifically for global teams. Its goal is to enable businesses to scale globally with smooth workforce operations, efficient payments, and solid regulatory compliance.

Company size
51-200
Company stage
Series A
Total funding
$52M
Headquarters
New York City, New York
Founded
2022

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