Related skills
machine learning ai infrastructure observability platform📋 Description
- Lead a high-performing team building the platform and infrastructure that powers Intercom's AI capabilities.
- Contribute directly to production code, staying close to the work and building knowledge through first-hand experience.
- Support teams of ML Scientists and Engineers building AI-powered capabilities.
- Plan, prioritize, and deliver high-impact roadmaps in partnership with the team's most senior engineers, balancing delivery, quality, and innovation.
- Improve developer-experience across the AI infrastructure stack, ensuring systems are observable, scalable, and easy to build upon.
- Empower the engineers on the team to act with agency and maximize their impact.
🎯 Requirements
- Experience leading engineering teams in an infrastructure or platform team.
- Strong prior experience working as an engineer.
- Strong technical judgment; coach senior engineers through complex architectural trade-offs.
- Adaptable leadership style for a group that will grow quickly, and change shape over time.
- Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production.
- Recent hands-on coding experience, shipped production code or notable OSS contributions.
🎁 Benefits
- Competitive salary, annual bonus and equity
- Regular compensation reviews - we reward great work!
- Generous paid time off above statutory minimum
- Hybrid working
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
- Fun events for employees, friends, and family!
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!