Engineering Manager - AI Platform

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What’s the opportunity?

We’re hiring an Engineering Manager for the AI Platform team in the AI Group. The AI Platform team builds and operates the foundational infrastructure that powers Intercom’s AI products, including developer tooling, inference infrastructure, and reliability systems. The team ensures that engineers and scientists can rapidly & safely build our flagship AI product Fin, while also ensuring it remains stable and performant in production.

This is a hands-on EM role — you’ll lead a senior team of engineers while remaining hands-on in the codebase. We believe that an EM who occasionally works alongside ICs writing code, will build up the knowledge and context required to inform strategic decision making and better support engineers in their team. This isn’t a temporary “player-coach” setup — it’s a deeply technical leadership role where coding and architecture work are core to the job.

This is a fantastic opportunity for an experienced engineering manager without prior AI experience to step directly into the world of AI systems. You’ll learn what it takes to run AI-powered production systems, and shape the platform that enables fast, safe, and reliable iteration on cutting-edge AI products.

Learn more about Intercom’s engineering culture at intercom.engineering, and more about Fin at fin.ai.

What will I be doing?

As a hands-on leader, you will:

Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities.

Contribute directly to production code, staying close to the work and building knowledge & context 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 that systems are observable, scalable, and easy to build upon.

Empower the engineers on the team to act with agency and maximize their impact.

Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow.

What skills do I need?

Must-haves

Experience leading engineering teams, in an infrastructure or platform team.

Strong prior experience working as an engineer.

Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs.

Adaptable leadership style suited to 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.

Nice to haves

Recent hands-on coding experience — you’ve shipped production code in the last couple of years or you’ve notable open source contributions.

Previous experience in hands-on EM/IC role or you’ve alternated between EM and IC roles during your career.

Previous experience building AI powered products or platforms.