Product Engineer (AI Agents for Growth)

Lago
Full-timeMid
€60K - €80K/yr

AI Tools

Claude Agent SDKClaude Code

Tech Stack

PythonTypeScriptClaude CodeClaude Agent SDKAPIsCRM Integration

Agent Workflow

Build multi-agent platform using Claude Code and Claude Agent SDK. Decompose monolithic AI skills into composable agents. Automate GTM workflows: lead qualification, prospect research, outreach drafting, customer monitoring. Implement self-improvement feedback loops.

About the Role

Lago is the leading open-source billing platform for usage-based pricing, powering billing for companies like PayPal, CoreWeave, Mistral AI, and Synthesia (YC S21).

The role involves transforming working AI prototypes into a production-grade multi-agent platform for go-to-market operations. These agents run on Claude Code, connect to CRM, Slack, and email, and have been iteratively refined with real production data over several months.

Key Responsibilities:

  • Decompose monolithic AI skills into composable agents with clear inputs, outputs, and failure modes — built on Claude Code and Claude Agent SDK
  • Make the system multi-user with differentiated permissions, views, and triggers with shared state layer
  • Implement automated feedback loops where system corrections inform agent calibration
  • Extend to additional workflows (deal automation, risk scoring, competitive monitoring)
  • Ship production systems with instrumentation and continuous improvement

Required Skills:

  • Production systems experience with APIs, databases, async workflows, CI/CD
  • Hands-on LLM development (Python or TypeScript)
  • Understanding of agent architectures (chains, routers, autonomous agents)
  • Experience with tool-use APIs, structured outputs, and AI reliability engineering
  • Product thinking focused on workflows

Nice-to-Have: HubSpot or CRM familiarity, Slack/Gmail API integration, webhook-driven architecture, evaluation/benchmarking frameworks

Salary: EUR 60,000 - 80,000

Location: Remote (France, Spain, Germany, Italy, UK)

Success Metrics:

  • 3 months: First system decomposed, 2+ team members using autonomously
  • 6 months: Self-improvement live, new workflow in production
  • 12 months: Platform core to GTM operations
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