{"id":2013490,"url":"https://alion.io/job/hinge-senior-backend-engineering-manager-recommendations","title":"Senior Backend Engineering Manager (Recommendations)","company":{"id":174519,"name":"Hinge","domain":"hinge.co","url":"https://alion.io/company/hinge-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":219000,"max":263000,"currency":"USD","period":"year","gross":null,"usd_annual":263000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-29T00:04:10Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-15T01:59:32Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Join Hinge, a leading dating app, as a Senior Backend Engineering Manager. In this role, you will lead a team of engineers to build and optimize our recommendation engine, a central part of our product. You will collaborate with machine learning engineers, product managers, data scientists, and data engineers to create systems that balance personalization, fairness, and user experience at scale. You will also own the technical roadmap for the recommender platform and drive architecture decisions for recommendation and search infrastructure.\nMissions\nConduire la stratégie et l'exécution de l'infrastructure et des fonctionnalités qui alimentent les recommandations.\nCollaborer avec des équipes interfonctionnelles pour définir et livrer des fonctionnalités de recommandation orientées produit.\nDiriger, encadrer et développer une équipe d'ingénieurs construisant des services de recommandation.\nProfil recherché\n - Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure- Track record of hiring, developing, and retaining high-performing engineering teams\n- Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders\n- Strong backend systems expertise - you've built or operated large-scale distributed systems in production\n- Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc)\n- Proficiency in one or more backend languages (ideally Go)\n- 8+ years of software engineering experience, with 4+ years in an engineering management role\n- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes)\n- Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow)\n- Background in A/B testing and experimentation platforms\n- Prior work at scale (millions of daily active users or equivalent throughput)","description_format":"text","description_chars":1967,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":4,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Lifestyle","Dating & 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