Senior Backend Engineering Manager
Match Group
Senior Backend Engineering Manager
Match Group
Global dating platforms with subscription model
Salary Range: 219000 to 263000 (Currency: USD) (Pay period: per-year-salary)
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
Own the technical roadmap for the recommender platform, balancing new capabilities with reliability and performance improvements
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
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
Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders
Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow)
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes)
Background in A/B testing and experimentation platforms
Prior work at scale (millions of daily active users or equivalent throughput)
Global dating platforms with subscription model
Match Group runs a family of online dating and social-discovery services. It operates a B2C model built on freemium access, with premium subscriptions and in-app purchases that unlock features like better visibility, advanced search filters, and unlimited interactions, plus an advertising channel. Its apps use a swipe-style interface and real-time, location-based discovery, supported by proprietary matchmaking algorithms and a closed-loop data ecosystem to improve experiences across brands. It emphasizes safety tools such as Face Check. The company differentiates itself by owning a large portfolio of brands (including Tinder, Hinge, and Match) and leveraging cross-brand data and technology to optimize experiences, expand into new markets, and acquire emerging platforms. Its goal is to help people form romantic relationships, friendships, and social connections at a global scale while generating recurring revenue through subscriptions and ads.
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