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Senior Backend Engineering Manager, Recommendations

Match Group · New York, New York · Hybrid

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About the role

Lead, mentor, and grow a team of 6-8 engineers building recommendation services Partner with ML to productionize recommendation models and ensure low-latency, high-availability serving infrastructure

What they're looking for

  • 8+ years of software engineering experience, with 4+ years in an engineering management role
  • Strong backend systems expertise – you've built or operated large-scale distributed systems in production
  • Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure
  • Proficiency in one or more backend languages (ideally Go)
  • Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc)
  • Track record of hiring, developing, and retaining high-performing engineering teams
More about this role

Hinge is the dating app designed to be deleted

In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.

About the Role

At Hinge, the recommendation engine is a central part of our product. Every interaction users have with each other on our app begins with the systems your team builds and owns. As the engineering manager of this team, you will help drive the strategy and execution behind the infrastructure and features that power our recommendations. You’ll work closely with machine learning engineers, product managers, data scientists, and data engineers to build systems that balance personalization, fairness, and user experience at scale, from low-latency match-serving pipelines to the candidate retrieval and ranking systems that determine who users see and when.

Our ability to provide good recommendations is...

Read the full posting on Match Group's site ↗

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