3 months ago

Engineering Manager, AI Models Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Hands-on engineering manager leading the AI Platform Team within Intercom’s AI Group. Build and operate foundational infrastructure powering AI products, mentor senior engineers, contribute to production code, and scale systems for safe AI-driven customer experiences. Focus on architecture decisions, developer experience, and expanding platform domains as AI initiatives grow.

Location: Berlin, Dublin, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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.

Key Requirements

•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.

Experience:AIMLInfrastructurePlatform

Skills:LeadershipMentoringCollaborationStrategic thinking

Languages:English

Tech Stack:InfrastructureProduction systemsML tooling

Company Brief

Intercom

Provides a customer messaging platform combining chat, bots, and product tours to help businesses convert, engage, and support customers across their lifecycle. Integrates with CRM and workflow tools for personalized in-app and email communication.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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Intercom

3 months ago

Engineering Manager, AI Models Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Berlin, Dublin, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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.

Key Requirements

•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.

Experience:AIMLInfrastructurePlatform

Skills:LeadershipMentoringCollaborationStrategic thinking

Languages:English

Tech Stack:InfrastructureProduction systemsML tooling

Company Brief

Intercom

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn