Senior Product Engineer - AI Platform · Intercom

Sat, 25 Apr 2026 20:49:09 GMT
Engineering

Intercom · Dublin, Ireland · hybrid

We're looking for Senior Product Engineers to join the AI Infrastructure team to help Intercom build AI-powered products. You will deeply understand our product, our ML tech stack, how we develop product, and how we can accelerate that process further.

The wider AI group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. AI infrastructure is building a platform to move extremely quickly, adapting to new AI advancements in a matter of days, but providing the safety shield to other engineers so our customers always get a good service.

As a Senior Product Engineer, you will:

Build the systems that power Intercom's flagship AI products.

Work alongside our ML engineers and ML Scientists to bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.

Partner with ML engineers and ML scientists to build the underlying platform that helps them shape the best AI-powered product experience for our customers.

Contribute to all phases of software development including ideation, prototyping, and implementation and testing.

Play an active role in the hiring, mentoring, and career development of other engineers.

Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

We're looking for someone with 5+ years of experience shipping high-quality products, preferably backend. You should be able to demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

Bonus skills & attributes:

1+ year of experience building ML-powered products.

Built or used ML platforms before.

Deep understanding of some distributed systems (e.g. database, caches, queues, streams).

Statistics fundamentals.