CrewAI

Own and build scalable HR operations infrastructure for a distributed workforce, including HRIS, payroll, benefits, employee lifecycle processes, reporting, and compliance. The role requires 4+ years of HR operations experience, HRIS ownership, U.S. employment-law knowledge, and comfort operating in a fast-growing startup.

Build and operate the infrastructure foundation for CrewAI's multi-agent AI platform across AWS, Azure, and GCP. Own CI/CD, observability, reliability, security, and self-hosted deployment tooling for cloud and enterprise environments.

Build and maintain CrewAI's Python enterprise runtime layer (FastAPI, Celery, Redis) that turns open-source agents into secure, observable production systems. Requires strong backend/platform engineering experience with distributed systems, auth, and observability.

Own the full lifecycle of enterprise LATAM accounts, driving onboarding, adoption, retention, renewal, and expansion. The role requires 4–7+ years of customer-facing SaaS experience, fluency in Portuguese and English, strong executive communication, and enough technical fluency to collaborate with engineering teams.

Core maintainer of the CrewAI open-source Python framework. Designs and maintains agent orchestration APIs, reviews community contributions, and upholds engineering quality in public.

Senior technical anchor for enterprise support at CrewAI. Owns hardest customer issues end-to-end, defines SLAs/escalation processes, and builds the support function for a multi-agent AI platform.

Build the CrewAI Agent Management Platform: a full-stack web product (strong frontend bias) for deploying, monitoring, and governing production AI agents using Rails, React, TypeScript, and Hotwire.

Leads technical integration of AI agent solutions for clients, designs custom multi-agent workflows using Python, troubleshoots implementations, and optimizes production deployments. Requires Python expertise, AI/ML familiarity, and customer-facing technical experience.