Match Group Logo

Match Group

Senior Backend Engineering Manager, Recommendations

Reposted 11 Days Ago
Be an Early Applicant
Hybrid
New York, NY, USA
219K-263K Annually
Senior level
Hybrid
New York, NY, USA
219K-263K Annually
Senior level
Lead and mentor a team of engineers to develop recommendation services, ensuring performance and reliability while collaborating with cross-functional teams for product features.
The summary above was generated by AI
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)

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

Match Group New York, New York, USA Office

New York, United States

Similar Jobs

Hinge Logo
Hinge

Engineering Manager

8 Days Ago
Hybrid
New York, NY, USA
100K-263K Annually
Senior level
100K-263K Annually
Senior level
Artificial Intelligence • Machine Learning • Mobile • Social Impact • Software • App development
The role involves leading and mentoring a backend engineering team, managing recommendation services, collaborating across functionalities, and ensuring high standards in code quality and system performance.
Top Skills: ElasticsearchGoKafkaSpark
Canoe Logo
Canoe

Relationship Manager

45 Minutes Ago
Hybrid
New York City, NY, USA
100K-115K Annually
Mid level
100K-115K Annually
Mid level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Serve as primary contact for a large portfolio of Core clients, drive product adoption and engagement, partner with Implementation, Support and Product to resolve issues, identify expansion opportunities, and manage renewals to protect and grow net dollar retention.
MetLife Logo
MetLife

Customer Care Advocate Disability Service - Virtual 8.3.26 - 18200

An Hour Ago
Remote or Hybrid
United States
42K-42K Annually
Entry level
42K-42K Annually
Entry level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Customer Care Advocate guides customers through complex insurance-related inquiries, using AI tools to enhance service accuracy and efficiency while ensuring compliance and customer confidence.
Top Skills: Ai-Powered ToolsCustomer Relationship Management

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account