AI Product Operator

Niural • New York City, NY

7d

About The Position

At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance. We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.

Requirements

• 2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
• Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
• Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
• Experience building multi-step AI workflows or agent-based systems
• Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
• Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
• Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
• Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
• Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week

Nice To Haves

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

Responsibilities

• 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, output validation, and error handling to ensure AI systems perform reliably at scale.
• 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.
• Ship with AI-Native Development: Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity. Vibe code: move fast, prototype rapidly, validate with real users, and iterate. Maintain clean, well-documented codebases so that automations and tools can be extended over time.
• 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.

Benefits

• Asymmetric financial rewards of building foundational internet infrastructure
• Work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
• Ship constantly and see your work used by real people every day
• Join a team that values speed, ownership, and ambition over process and perfection

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed