AI Product OperatorThe RoleYou are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them 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.
This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
What You Will DoBuild 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
What We Are Looking ForMust-Have- 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-Have- 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
How We Will Measure Success- 30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
- 60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
- 90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
