Senior Backend Engineering Manager, Recommendations
Core
Lead a team building and operating the recommendation engine infrastructure for a dating app, ensuring low-latency serving of personalized matches.
Role type
Senior Engineering Manager (Backend/Recommendations)
Builds
Low-latency match-serving pipelines, candidate retrieval and ranking systems, and recommendation infrastructure for a dating platform.
Domain
Dating / Social / Personalization
Deliverable
production ML models | infrastructure
Required skills
Backend systems design, distributed systems, recommendation systems, search ranking, team leadership, technical roadmap ownership, architecture decision making, hiring and performance management
Preferred skills
Go, Kafka, Spark, ElasticSearch, ML frameworks (TensorFlow, PyTorch), MLOps tooling, cloud infrastructure (AWS, GCP, Azure), Kubernetes, A/B testing platforms
Technologies
Go, Kafka, Spark, ElasticSearch, TensorFlow, PyTorch, MLflow, Kubeflow, Airflow, AWS, GCP, Azure, Kubernetes
Responsibilities
Lead and mentor a team of 6-8 engineers building recommendation services; Partner with ML to productionize recommendation models and ensure low-latency, high-availability serving infrastructure; Own the technical roadmap for the recommender platform; Drive architecture decisions for recommendation and search infrastructure; Establish and maintain engineering standards for code quality, testing, observability, and incident response; Collaborate with Product, Design, and cross-functional engineering teams to define and deliver product-facing recommendation features; Manage hiring, performance reviews, career development, and team culture
Seniority
Senior, hands-on IC with management responsibilities
