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Help manage the intake, triage, and prioritization of day-to-day legal questions and requests from business stakeholders, ensuring timely routing, response, and escalation as needed. Develop a deep understanding of Hinge's product, technology, and data practices to deliver proactive, business-minded advice on new features, AI-driven functionality, and safety initiatives. Serve as legal liaison to product and design teams on compliance with domestic and international laws governing consumer-facing technology, including advertising, intellectual property and consumer protection. Partner closely with Hinge Privacy counsel and cross-functional Privacy teams on data protection, privacy-by-design reviews, and regulatory compliance matters affecting product features, data practices, and new market launches. Develop, advise and manage continuous improvement of cross-functional legal workflows, including playbooks, training, templates, and AI-assisted processes, to reduce time-to-answer on recurring legal questions and scale support as Hinge grows. Issue-spot and assess legal and regulatory risk for new and evolving products, particularly AI systems, under emerging AI regulation globally (e.g., the EU AI Act) and at the U.S. state level. Draft and negotiate a range of commercial agreements supporting product development, including technology licensing, SaaS, data/analytics, research, and vendor agreements, partnering with Hinge Commercial Legal and relevant stakeholders where appropriate. Guide product launches into new markets, ensuring compliance with local legal requirements and coordinating with local internal and external counsel as needed. Conduct legal research on novel issues affecting Hinge's products and users. Act as a trusted, embedded legal partner who identifies jurisdiction-specific risk early, builds scalable compliance frameworks, and finds creative paths forward that keep ambitious product bets moving.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/43680053", "isPrivate": false}, {"id": 42409033, "name": "Director of AI, Dating Outcomes", "posting_name": "Director of AI, Dating Outcomes", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1787893309, "t_create": 1781296483, "ats_job_id": "1ce78c26-349b-42f2-b193-2ff0a86861dd", "display_job_id": "R0005132", "type": "ATS", "id_locale": "R0005132-en", "job_description": "Strategy and Vision: Own the AI strategy for dating recommendations across the full journey, from first candidate to last date. 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": 19938972, "name": "Senior Machine Learning Platform Engineer", "posting_name": "Senior Machine Learning Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1787893309, "t_create": 1704997239, "ats_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "display_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "type": "ATS", "id_locale": "6203985222364177919-en", "job_description": "Own or contribute to technical designs for the feature platform, training platform, serving platform, and underlying operational infrastructure that provides incremental delivery and impact. Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps. Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering incrementally. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers and Data Scientists on current and up and coming tools and technologies for ML operations through presentations and documentation. Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers. Perform other job-related duties as assigned. 3+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 1+ year of experience for Senior designing and developing online and production grade ML systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture: Ability to design scalable and efficient ML systems. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge: A basic understanding of ML algorithms, techniques, and best practices. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/19938972", "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": 1787893309, "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": 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": 1787893309, "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": 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": 1787893309, "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": 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": 1787893309, "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. 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