hinge jobs in Match Group

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Build the frameworks to reason rigorously through ecosystem tradeoffs where a win for one cohort reshapes another, and set a vision ambitious enough that the org wants to chase it. Cross-Functional and Industry Leadership: Partner closely with other product groups to integrate AI capabilities across the product and shape roadmap decisions you do not own. Communicate honestly with executive leadership on strategy, tradeoffs, and progress. Own budget and investment strategy for the area, and represent Hinge externally through writing, talks, and community. Technical Leadership: Steer real-time, personalized recommendation systems that reduce ratings per exchange and drive better matches. Bring Generative AI to dating outcomes in ways that are differentiated, authentic, and grounded in how people actually connect. Responsible AI: Hold the bar on scalability, resilience, and rigorous evaluation for both performance and bias. Team and Organizational Development: Structure and scale the team for both deep execution and long-horizon bets. Develop emerging leaders, invest in succession across IC and leadership tracks, and build a culture where rigor, inclusion, and performance reinforce one another. Execution Excellence: Drive predictable delivery, balancing urgent risk response with long-term platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings. 10 or more years across data science, applied ML, and software engineering, with 6 or more years in AI or engineering leadership defining strategy, not just managing execution. A track record of leading real-time, personalized recommendation systems in production, including the relevance, fairness, and scale tradeoffs that carry real consequences. Demonstrated success scaling ML or AI teams and developing technical leaders who carry the work over years, not a single launch. Deep technical fluency across ML, RL, Generative AI, and MLOps, with the communication skills and executive presence to represent AI strategy at the highest levels of the organization. A degree in Computer Science, Machine Learning, or a related quantitative field. A PhD is a plus, not a requirement. Experience building AI systems in a two-sided or constrained marketplace, where optimizing for one group shifts outcomes for another and the right answer is rarely obvious.", "stars": 0.0, "medallionProgram": null, "location_flexibility": "flexible_within_country", "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/42409033", "isPrivate": false}, {"id": 43393001, "name": "Lead Researcher, Cultural & Consumer Insights", "posting_name": "Lead Researcher, Cultural & Consumer Insights", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1789275707, "t_create": 1784923993, "ats_job_id": "66555915-0671-4679-82a0-aaddc8cb6585", "display_job_id": "R0005157", "type": "ATS", "id_locale": "R0005157-en", "job_description": "Survey Strategy & Design: Bring behavioral science and cultural expertise, especially on how Gen Z relates to dating, identity, and connection, into early brainstorms with Comms and Product Marketing, helping shape raw ideas and themes into sharp, well-defined research questions and exploration areas. Quantitative Craft: Design and field rigorous, creative surveys that translate those questions into precise instruments, ones that are also a genuinely good experience for daters. Ongoing Insight Synthesis: Run analysis as learnings emerge (not just at the end), keeping collaborators informed and engaged along the way, bringing the team on the ride with the data, even though final story and report ownership sits elsewhere. Signature Initiatives: Power efforts like the Global DATE Reports (GenZ + LGBTQIA), localized data stories in markets outside the US, and product marketing launches (value proposition testing, feature sentiment). Strategic Partnership: Act as a close, trusted partner to Communications and Product Marketing, embedding insights work directly into their strategy and planning, and connecting opportunities across Marketing and Product. Innovation in Quant Storytelling: Stay curious about what's next, experimenting with new survey formats, question design, and analysis approaches to push Hinge's quantitative storytelling forward. Vendor Management: Direct external research and strategy agencies, providing clear briefs and strategic direction aligned to CCI's goals. Develop a strong understanding of storytelling at Hinge and build processes to support it by collaborating with marketing partners on a data-driven, consumer-facing story. Build strong, trusted, collaborative relationships with key partners across Communications and Product Marketing, including marketing managers in US + European + LATAM markets. Develop a research roadmap around key marketing moments in close collaboration with marketing partners. PhD in a behavioral science field (relationship science, psychology, sociology, behavioral economics, communications, or related discipline), with formal training in research methods and quantitative analysis. Passion and curiosity about dating culture and our mission of inspiring intimate connections to create a less lonely world. 5+ years of post-PhD applied consumer research experience, with deep expertise in quantitative survey design, able to craft surveys that are methodologically sound and genuinely engaging for respondents. Experience designing research for external audiences, including press coverage, branded reports, and thought leadership. You're an expert at defining the right questions: you can synthesize diverse perspectives and cultural observations into sharply defined research questions and areas of exploration Expert data storyteller with a proven ability to find the story in the data and make insights accessible and compelling Extremely collaborative, low-ego partner who thrives working shoulder-to-shoulder with Marketing and Product Marketing teams, who is comfortable operating with ambiguity and shifting priorities. Mixed-methods research expertise, with strong quantitative survey experience as a core strength, complemented by qualitative experience is a plus (in-depth interviews, ethnographic observation). Champions team culture in authentic, courageous, and empathic ways. Cross-cultural or cross-market research experience is a plus: you've run studies beyond the US and know how to identify and contrast cultural nuances.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/43393001", "isPrivate": false}, {"id": 43015285, "name": "Lead UX Researcher, Growth", "posting_name": "Lead UX Researcher, Growth", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1789275707, "t_create": 1783521597, "ats_job_id": "302d967b-3cb3-47c2-9208-6d4e69a1b5b2", "display_job_id": "R0005107", "type": "ATS", "id_locale": "R0005107-en", "job_description": "Lead research strategy: Build and drive the research roadmap for Growth product teams, ensuring that research informs product decision making and drives product strategy. Develop and execute end-to-end research: Conduct end-to-end research using appropriate methods that range from strategic to iterative and evaluative to help the team achieve goals. Growth experience: including research into international expansion, monetization and/or merchandising. Building inclusive products: Experience thinking through different audiences' needs, pain points and behaviors, including working with accessibility needs in mind. Being a strategic cross-functional partner: Work in close collaboration with other researchers and cross-functional partners (i.e., product managers, designers, data scientists, customer experience, marketing and brand strategy) to identify key research questions and prioritize projects in the short and long term. Deliver high-impact insights at velocity: Generate actionable insights that help teams make decisions and build momentum towards our mission. Champion culture and clarity: Model honest, empathetic communication and help cross-functional partners navigate ambiguity with confidence and care. 6+ years of user research experience, including 2-3 years of experience in a consumer-facing product research role. Experience working on monetization, subscriptions or new revenue streams or zero-to-one products. Mixed methods with a strong quantitative (e.g., survey, experimental) skills and expertise with measuring sentiment in experiment frameworks. Proficient in data manipulation, analysis, and dashboard creation with R, SPSS, and/or Looker (or similar statistical software.) Strong communicator, committed to telling clear and compelling stories with data. Proactive at building and sustaining trusting, successful relationships with cross-functional partners (e.g. data science, customer experience, product management, design, engineering, marketing.) Eager to learn from, collaborate with, and mentor other researchers. Champions team culture in authentic, courageous, and empathic ways.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/43015285", "isPrivate": false}, {"id": 42508540, "name": "Sr. Talent Acquisition Partner (Technical)", "posting_name": "Sr. Talent Acquisition Partner (Technical)", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "People", "t_update": 1789275707, "t_create": 1781818422, "ats_job_id": "825cc934-7cd6-4462-a9a9-99a61558ebe1", "display_job_id": "R0005078", "type": "ATS", "id_locale": "R0005078-en", "job_description": "Full-Cycle Recruitment Own end-to-end recruiting for engineering, data science, product roles \u2014 from intake through offer close, using AI-enabled workflows to drive efficiency at every stage. Continuously refine interview rubrics, technical assessments, and scorecards to reduce time-to-hire and improve offer conversion. Track and present metrics including time-to-fill, pass-through rates, offer acceptance, and hiring manager NPS. Design and execute multi-channel sourcing strategies using job boards, LinkedIn, niche communities, industry events, university partnerships, and direct outreach to build and maintain a healthy pipeline at every stage. Act as an ambassador for Hinge, articulating our mission, culture, and value proposition in a compelling and authentic way. Partner with cross-functional stakeholders to strengthen employer branding initiatives and attract exceptional talent. Build meaningful relationships with candidates, creating a high-touch experience that fosters engagement throughout the hiring process. 5+ years full-cycle technical recruiting, ideally in tech or mobile-first companies Ability to read engineering JDs, understand tech stacks, and have credible conversations with technical hiring managers Strong command of LinkedIn Recruiter, AI talent platforms, and Boolean search techniques Comfort using recruiting metrics to drive decisions and present pipeline insights to engineering leadership Hands-on experience building technical interview frameworks, scorecards, and assessment rubrics ATS expertise: Hands-on experience with Greenhouse, Lever, or Workday, or comparable ATS platforms. Excellent stakeholder management skills, comfortable advising senior leaders and navigating ambiguity. High emotional intelligence with the ability to build trust quickly with candidates and business partners. Knowledge of New York compensation structures and geographic pay considerations.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/42508540", "isPrivate": false}, {"id": 41751845, "name": "Senior Backend Engineering Manager, Recommendations", "posting_name": "Senior Backend Engineering Manager, Recommendations", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1789275707, "t_create": 1777412920, "ats_job_id": "553d4da2-ff94-4306-b985-2ea09bf48dca", "display_job_id": "R0004957", "type": "ATS", "id_locale": "R0004957-en", "job_description": "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)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/41751845", "isPrivate": false}, {"id": 41509013, "name": "Senior Data Platform Engineer", "posting_name": "Senior Data Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1789275707, "t_create": 1776367985, "ats_job_id": "b70c8cbd-79d2-4dcf-a1a6-4a56bc47dfc8", "display_job_id": "R0004798", "type": "ATS", "id_locale": "R0004798-en", "job_description": "Design, develop, and maintain core services within Hinge's data platform. Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives. Responsible for maintaining and enhancing data pipelines and database management frameworks, which include tasks such as automation, monitoring, alerting, governance, and cost optimization. Work on observability systems that enables holistic system and data quality monitoring Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers. Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. 4+ years of professional/industry experience. Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development. Experience modeling data sets for different types of sources and business processes. Strong communication skills (written/verbal). Exposure to ML Ops or other data engineering workloads. Effective analytical, troubleshooting, and problem-solving skills. A degree in computer science, engineering, or a related field. Programming: Python, Go, Scala, Java Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure. DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions Streaming: Kafka, PubSub, Dataflow Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt BI platform: Looker", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/41509013", "isPrivate": false}, {"id": 38023404, "name": "Senior iOS Engineer", "posting_name": "Senior iOS Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1789275707, "t_create": 1758052251, "ats_job_id": "81717593-d79d-4287-b5d6-6ad43a48bc4f", "display_job_id": "R0005096", "type": "ATS", "id_locale": "R0005096-en", "job_description": "Team Leadership & Best Practices: Champion best practices and team principles that enhance collaboration and elevate the success of the iOS team. Feature Development: Design, develop, and refine features that enhance the functionality and user experience of our iOS application. Cross-Functional Collaboration: Partner with product managers, designers, and engineers to deliver seamless user experiences. Apple Ecosystem Expertise: Stay current with the latest Apple platform updates, leveraging new capabilities to drive innovation within the app. Reliability & Issue Resolution: Monitor, diagnose, and address production crashes and customer-reported issues to ensure a smooth user experience. Architecture & Scalability: Maintain and evolve a scalable, extensible, and efficient application architecture to support future growth. Proficiency in Swift & UIKit: In-depth knowledge of Swift, UIKit, and iOS app development App Architecture: Familiarity with client application and systems architecture patterns like VIPER, MVVM, and MVP. Feature Development: Experience building and maintaining apps with comprehensive feature sets and rich user interfaces. Production Support: Prior experience operating and troubleshooting production apps. Problem-Solving & Organization: A structured thinker with strong attention to detail and the ability to see the big picture. SwiftUI & Concurrency: Experience with SwiftUI and Swift Concurrency is a plus. CI/CD & Deployment: Familiarity with Github Actions, CircleCI, Fastlane, and TestFlight is a plus. In-App Purchases: Experience with in-app purchases is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38023404", "isPrivate": false}, {"id": 25720841, "name": "Senior Data Engineer", "posting_name": "Senior Data Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1789275707, "t_create": 1729281095, "ats_job_id": "0164e706-70ce-49c2-8332-83d7eb4ce607", "display_job_id": "R0004883", "type": "ATS", "id_locale": "R0004883-en", "job_description": "Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more. Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives. Work with stakeholders and translate their needs and expectations into action items and deliverables. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. 5+ years of professional/industry experience Proficient in Python, SQL, DevOps, and databases. 5+ years of professional/industry experience. Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes. Experience modeling data sets for different types of sources and business processes. Passionate about designing elegant data infrastructure, tooling, and pipelines. Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery). and CI/CD technologies (CircleCI). 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