About LoopMe
LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale.
We operate a high-load programmatic infrastructure — processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant.
The opportunity
You'll build and scale LoopMe's Data Management Platform — a massively distributed, high-throughput system processing billions of events daily, creating rich device and audience profiles, and exporting data segments to 50+ global partners and exchanges in real time. This is backend engineering at genuine scale: complex data pipelines, real-time processing, and the infrastructure powering large-scale advertising auctions and audience targeting. This role sits within the DMP engineering team.
What you'll do
- Develop features and optimise performance for large-scale data pipelines built on Spark, HBase, and Kafka
- Design and optimise data schemas for relational and NoSQL databases
- Build and maintain microservice applications across a large multi-module codebase
- Own your work end to end — from design through to production delivery
What you'll bring
Essential:
- 2+ years of backend engineering experience
- Proficiency in Java with a strong understanding of concurrency and distributed systems
- Experience with Spring Framework or a comparable IoC framework
- Experience with JPA or another ORM framework
- Strong SQL skills and experience with PostgreSQL or a modern RDBMS
Nice to have:
- Experience with Apache Spark or another large-scale data processing framework
- Familiarity with HBase or other NoSQL/columnar stores
- Experience with Kubernetes and Kafka
- Experience integrating AI or LLM capabilities into backend services
What we offer
- Hybrid working
- Flexible schedule
- 1 month work-from-anywhere
- Annual performance bonus
- Multikafeteria (sport/culture card)
- LoopMe Gives Back
- Learning & development support
Skills Required
- 2+ years of engineering experience
- Proficiency in Java with a strong understanding of concurrency and distributed systems
- Experience with Spring Framework or similar IoC frameworks
- Experience with JPA or other ORM frameworks
- Strong knowledge of SQL and experience with modern RDBMS (PostgreSQL)
- Self-motivated, reliable, and comfortable working across a large multi-module codebase
What We Do
LoopMe, the leading outcomes-based platform, closes the loop on digital advertising. By leveraging AI to optimise media delivery in real-time, we drive measurable uplift for business outcomes and more effective advertising across online and offline marketing goals, including brand lift, purchase intent, consideration, foot traffic and sales. LoopMe's core business helps brands and agencies achieve better advertising results powered by our AI-platform and flagship product PurchaseLoop. LoopMe's marketplace powers more effective supply and demand connections, rooted in programmatic delivery. LoopMe's robust data and analytics measurement suite, including its proprietary household and device graph, brings deep insights to various companies within the advertising industry including podcasting, out-of-home, connected TV, mobile and more. LoopMe was founded in 2012 with the mission to create better consumer experiences through innovation, powered by data, in order to bring people and brands together. The Company is headquartered in the UK, with 15 global offices across New York, Boston, Atlanta, Chicago, Detroit, San Francisco, Los Angeles, Toronto, Singapore, Sydney, Tokyo, Dnipro, Krakow and Hong Kong.
