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Engineering Manager, AI Models Infrastructure

Location
Dublin, Ireland; London, England
Compensation
Not disclosed
Level
lead
Type
full time · Hybrid

Posted by employer 6 months ago

First seen on Joblaze 6 months ago

Last verified on the company career page 5 hours ago

Skills & Technologies

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Joblaze summary

The Engineering Manager for AI Models Infrastructure at Intercom leads a team focused on developing and maintaining the foundational infrastructure that supports the company's AI capabilities. This role requires a strong background in AI and experience in managing infrastructure or platform teams, alongside a commitment to fostering team effectiveness and innovation. Ideal candidates will have a solid engineering background and the ability to adapt to a rapidly evolving technical landscape. Intercom emphasizes a collaborative culture, encouraging open communication and a focus on delivering high-quality customer experiences.

Joblaze insights

  • Listed about 6 months ago — first seen on Joblaze April 17, 2026. Last confirmed on Intercom's careers page November 2, 2026.

Quick facts

Is the Engineering Manager, AI Models Infrastructure role remote?
It's hybrid — Intercom expects some on-site time in Dublin, Ireland; London, England.
Where is the role based?
Intercom is hiring for this position in Dublin, Ireland; London, England.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Intercom targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Engineering Manager, AI Models Infrastructure role at Intercom.

From the original posting

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.

Fin 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 Fin 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 over 30,000 global businesses, Fin 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 our AI Models Infrastructure Team in the AI Group. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models.

This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge.

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

What will I be doing?

You will:

  • Lead a high-performing team building the platform and infrastructure that power Fin's AI capabilities.
  • Magnify the team’s effectiveness, whether that means removing impediments, or finding ways to accelerate their progress.
  • 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.
  • 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?

You must have:

  • Experience leading infra or platform teams.
  • Strong prior experience working as an engineer.
  • Strong technical judgment and communication skills, enabling you to advocate for the team’s needs
  • Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
  • Curiosity and enthusiasm for AI.

Experience training ML models and operating them in production at scale is a significant advantage, but not a hard requirement. We will invest in EMs with a deep technical background, and a strong appetite to learn the domain.

Nice to have

  • Experience training ML models and operating them in production, at scale.

#LI-Hybrid

Unleash Your Potential

Standard company text repeated across Intercom's postings is omitted here.

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