KeyStep

Senior Data Engineering Manager

Intercom
London, UK
12 days ago
full-time

Skills & Technologies

Data EngineeringHelpdeskCustomer ServiceIntercomImplementationAIResearch

Job Description

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?

The volume and velocity of data at Intercom are exploding, fueled by our growth and our drive to integrate more sophisticated, AI-assisted data solutions.

The Data Engineering team is the critical engine powering Intercom's future. We are responsible for building and maintaining the distributed foundations that transform raw information into actionable intelligence, empowering all Intercom teams, from Product to Research. We are looking for a seasoned Senior Data Engineering Manager to take ownership of key data initiatives and drive these efforts forward.

What will I be doing?

This role is about impact and ownership. You will lead a team at the forefront of designing and evolving the core infrastructure that powers our entire data ecosystem.

Next-Gen Platform Evolution: Partner with product and business teams and lead the architectural design and implementation of the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.

Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build the self-service tooling and infrastructure they n

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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