About Niural

Niural is the AI-native global PEO for the modern workforce. Our mission is to give every growing company enterprise-grade payroll, benefits, and compliance without the enterprise overhead. Built from scratch rather than retrofitted onto legacy systems, Niural combines payroll, PEO/ASO, global EOR, benefits, and vendor payments into one intelligent platform. Powered by EMMA, our AI coworker that executes end to end operations. Niural runs payroll and compliance across 150+ countries. Backed by a $52M Series A and $200M+ in annualized gross revenue on our PEO product alone, we're building the financial infrastructure that companies run their businesses on.

About the role

You are a builder and an owner. You’ll partner with the Product Manager to find where manual work is slowing teams down, decide what’s worth automating, and then build it. You won’t just take tickets. You’ll sit with Operations, Accounting, Sales, and Marketing, understand their workflows, and turn their problems into working systems, fast.

You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team. You’ll also set the standards for how internal tools get built here and help guide AI Operator interns as the team grows.

This role is for someone with a strong engineering mindset who has shipped production systems before, can make sound architecture decisions on their own, and knows how to keep tools reliable once real teams depend on them every day.

What You Will Do

Own the Internal Tools Roadmap

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 the impact of your tools, including hours saved, error reduction, and adoption

Build Internal Tools

Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams

Use frameworks like 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: build, deploy, monitor, and iterate

Engineer AI Workflows & Agents

Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines

Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&A

Implement robust prompt engineering, evals, output validation, and error handling to ensure AI systems perform reliably at scale

Monitor model performance and cost, and make the call on when to use AI versus simpler rules-based logic

Integrate Systems & Automate Pipelines

Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer

Create data pipelines that automate reporting, reconciliation, and exception handling for the 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

Ship with AI-Native Development

Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity

Move fast, prototype rapidly, validate with real users, and iterate

Set up the shared foundations (repo structure, deployment, monitoring, documentation) so tools can be maintained and extended by others

Support Sales & Marketing Systems

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