This job posting from Lago, an open-source billing platform for usage-based pricing, highlights the development of AI-powered internal agents that automate various key workflows within their Growth Team Marketing (GTM) operations. The role involves transforming these monolithic AI skills into a production-grade multi-agent platform that can be used by the entire team and improve over time through real-world data integration and feedback loops. These AI agents are currently integrated with tools like Claude Code, CRM systems, Slack, and email to manage workflows such as lead qualification, prospect research, outreach drafting, customer monitoring, and more. The successful candidate will need strong software engineering skills, hands-on experience with large language models (LLMs), an understanding of agent architecture thinking, and a product instinct for identifying where AI can be most effectively leveraged within the company's operations.
- Review current team processes to identify areas where AI automation can be implemented effectively.
- Develop prototypes for new workflows using Claude Code and integrate with existing tools like CRM, Slack, and email.
- Establish a feedback loop system to capture real-world data and automatically calibrate the agents' performance over time.
Minimal direct impact as this is a job posting focusing on the internal technology stack of Lago. No specific vulnerabilities or security issues are mentioned that would affect homelab stacks directly.