--- title: 'Senior Backend Engineering Manager, Recommendations at Match Group' canonical: 'https://feeny.ai/job/senior-backend-engineering-manager-recommendations-match-group-new-york-6bkzb0e8gkw0' type: 'job' last_seen: '2026-09-08' --- # Senior Backend Engineering Manager, Recommendations at Match Group - **Company:** Match Group - **Location:** New York, NY - **Compensation:** $219k–$263k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-28 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/matchgroup/553d4da2-ff94-4306-b985-2ea09bf48dca ## Job description 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 central to achieving trust, engagement, and, most importantly, whether people can find who they’re looking for on Hinge. ## Responsibilities - 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 ## What We'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 - Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders ## Nice to Have - 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) ## #LI-GL1 As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge ## About Match Group ## Company Profile: Match Group Match Group is a publicly traded internet company that owns and operates a portfolio of dating and social connection apps, including Tinder, Hinge, Match.com, OkCupid, Plenty of Fish, Azar, Her, Meetic, and The League. The company focuses on helping people find meaningful relationships across diverse demographics and geographies. ### Status **Public** – Ticker: MTCH (NASDAQ). IPO in 2015. ### Key Facts - **Founded**: 2009 (as a spin-out from IAC) - **Headquarters**: Dallas, Texas, USA (with 20 offices worldwide) - **Employees**: 2,000+ globally (as of 2026) - **CEO**: Spencer Rascoff (as of 2026) - **Chairman**: Thomas J. McInerney ### Market & Financials | Metric | Value | Date | |--------|-------|------| | Market Cap | ~$9.5B | 2026 | | Annual Revenue (FY2025) | $3.5B | 2025 | | Operating Income (FY2025) | $873M | 2025 | | Net Income (FY2025) | $613M | 2025 | | Q2 2026 Revenue | $853M | Quarter ended June 30, 2026 | | Diluted EPS (Q2 2026) | $0.70 | 2026 | *Sources: [LinkedIn](https://www.linkedin.com/company/matchgroup), SEC 10-Q filed Aug 5, 2026.* ### Notable Brands - **Tinder** – flagship dating app - **Hinge** – designed to be deleted (relationship-focused) - **Match.com** – long-standing online dating site - **OkCupid** – algorithm-driven matching - **Plenty of Fish** – free messaging platform - **Azar** – video-first social discovery - **Her** – dating and community for LGBTQ+ women - **Meetic** – European dating leader - **The League** – curated, career-oriented dating ### Competitive Advantages - **Portfolio breadth**: Brands serve different life stages and preferences, creating cross-platform user acquisition and retention. - **Network effects**: Over 500 million matches per month; one-third of marriages in the U.S. begin on a Match Group app. - **Global reach**: Available in 40+ languages across 190+ countries. - **Data & AI**: Deep investment in matching algorithms, safety systems, and personalization. ### Strategic Focus - **Safety & trust**: Strengthening user safety features (e.g., photo verification, background checks) and moderation tools. - **AI-driven innovation**: Leveraging machine learning for better matches, fraud detection, and conversational assistance. - **International expansion**: Growing in Asia (Azar), Latin America, and Europe. - **Monetization**: Subscription tiers (e.g., Tinder Platinum, Hinge Preferred) and a la carte features. ### Why Work Here (from Careers Page) - **Benefits**: Comprehensive medical, dental, vision; mental health support via Modern Health; ClassPass/Active & Fit memberships; 100% employer match on 401(k) up to 10% (capped at $10,000); Employee Stock Purchase Program; flexible PTO; generous parental leave; fertility and adoption benefits; pet insurance; annual training allowance. - **Culture**: “1 Match Group” philosophy – Employee Resource Groups (ERGs) and cross-brand collaboration; emphasis on belonging and giving back through volunteer opportunities. - **Career growth**: Internal mobility across brands and functions; access to Udemy and ongoing learning resources. - **Work environment**: Hybrid/remote flexibility depending on role; global teams spanning 20 offices across 19 countries. ### Sources 1. [Match Group Careers](https://mtch.com/careers/) 2. [Match Group About](https://mtch.com/about/) 3. [Match Group Life at Match Group](https://mtch.com/careers/life-at-match-group/) 4. [Match Group Open Positions (Lever)](https://jobs.lever.co/matchgroup) 5. [Match Group LinkedIn](https://www.linkedin.com/company/matchgroup) ## Other roles at Match Group - [Workplace & Facilities Generalist](https://feeny.ai/job/workplace-facilities-generalist-match-group-london-wdp2d9k56f1t) — London, United Kingdom - [Policy Analyst](https://feeny.ai/job/policy-analyst-match-group-dublin-zamnxjrcw41s) — Dublin, Ireland - [Staff Product Manager](https://feeny.ai/job/staff-product-manager-match-group-vancouver-1az2348a0jn6) — Vancouver, Canada - [Product Data Analyst](https://feeny.ai/job/product-data-analyst-match-group-tokyo-et3eaa1mdmga) — Tokyo, Japan - [Software Engineer II, iOS](https://feeny.ai/job/software-engineer-ii-ios-match-group-palo-alto-fb4m91qjp0dz) — Palo Alto, CA - [Software Engineer II, Android](https://feeny.ai/job/software-engineer-ii-android-match-group-palo-alto-ahmadtt98rk6) — Palo Alto, CA - [Senior Accountant](https://feeny.ai/job/senior-accountant-match-group-tokyo-07nysknj8rpf) — Tokyo, Japan - [UX Researcher (Temp-6 month)](https://feeny.ai/job/ux-researcher-temp-6-month-match-group-united-states-n629av4kr7t8) — United States - [Content Strategist](https://feeny.ai/job/content-strategist-match-group-dublin-mht18hewfyy0) — Dublin, Ireland - [Senior Recruiter](https://feeny.ai/job/senior-recruiter-match-group-dublin-hr3mxf5tmahm) — Dublin, Ireland