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": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/42409033", "isPrivate": false}, {"id": 42292407, "name": "Senior Data Scientist, Matching", "posting_name": "Senior Data Scientist, Matching", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1782277460, "t_create": 1780951823, "ats_job_id": "1790127f-d74b-4bf8-bb34-4443f872391d", "display_job_id": "1790127f-d74b-4bf8-bb34-4443f872391d", "type": "ATS", "id_locale": "7553701983824063576-en", "job_description": "Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy Translate product objectives to data science problems and vice versa Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems Collaborate with AI team to develop, iterate, and test production models (e.g., targeting) 5+ years of experience as data scientist Experience with A/B testing Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge) Strong knowledge of statistics and machine learning Superb communication skills Ability to balance rigor with practicality Deep sense of intellectual curiosity Excellent collaboration skills and a track record of cross-functional influence", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/42292407", "isPrivate": false}, {"id": 41789680, "name": "VP of Product Management, Trust and Safety", "posting_name": "VP of Product Management, Trust and Safety", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1782277460, "t_create": 1777663546, "ats_job_id": "617789e9-c1ae-49f7-a3f8-80d8f13a6e3e", "display_job_id": "617789e9-c1ae-49f7-a3f8-80d8f13a6e3e", "type": "ATS", "id_locale": "2627980592754690606-en", "job_description": "Strategy & Vision: Define and own the long-term T&S product strategy and roadmap, with a focus on proactive safety, felt safety, and net-new user-facing features that differentiate the Hinge brand. People Leadership: Lead, develop, and grow a team of product managers across core T&S workstreams including account integrity, enforcement fairness, internal tools, age assurance, in-real-life (IRL) safety, and more. Build a culture of high standards, ownership, and psychological safety. Execution Excellence: Drive predictable, high-velocity delivery. Create the conditions for PMs to own their workstreams end-to-end while maintaining clear escalation paths and executive alignment. Responsible AI: Identify and champion opportunities to apply AI thoughtfully across the T&S product surface - using machine learning, LLMs, and emerging tools to improve safety outcomes, reduce user friction, and create moments of genuine delight. Innovation: Translate industry trends, regulatory changes, and emerging threat patterns into actionable product strategy. Champion net-new capabilities that position T&S as a growth driver. 10+ years of product management experience within consumer technology companies, ideally with significant time in Trust & Safety, integrity or a closely adjacent domain (rideshare, marketplace, gaming, social media). Proven track record of building, developing, and scaling high-performing product teams, with a clear point of view on culture, talent and how people do their best work. Hands-on fluency with AI and machine learning in a product context. You understand the possibilities and the guardrails and you know how to apply both responsibly. Demonstrated ability to translate complex, evolving challenges (regulatory shifts, emerging threats, ambiguous problem spaces) into clear product strategy with measurable user and business outcomes. Strong executive presence with the ability to lead through influence, communicate clearly across executive leadership, Legal and Policy partners, and external stakeholders and align them around a bold vision. Exceptional analytical and creative problem-solving skills with a high comfort level operating in high-urgency, ambiguous environments without sacrificing long-term quality or team health. Deep user empathy and consumer-centric thinking. You believe safety is a felt experience. Collaborative team player and organizational leader with a strong commitment to cross-functional excellence and culture. Experience partnering with AI/ML teams on detection, classification, or GenAI-related risk mitigation. Background in regulated or safety-sensitive domains such as marketplaces, fintech, or social platforms. Familiarity with T&S operations workflows, case management, and policy-to-product translation.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/41789680", "isPrivate": false}, {"id": 40078674, "name": "Lead Product Manager, Platform", "posting_name": "Lead Product Manager, Platform", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1782277460, "t_create": 1770400009, "ats_job_id": "c79d226f-eb60-438c-9d45-b251dbc9d232", "display_job_id": "R0004899", "type": "ATS", "id_locale": "R0004899-en", "job_description": "Define the strategy, roadmap, and success metrics for core platform systems that support multiple product teams across Hinge. Partner with Design and Engineering to evolve shared components, patterns, and tooling that enable consistent, high-quality experiences across platforms. Lead accessibility initiatives that ensure Hinge meets and exceeds accessibility standards, embedding inclusive design principles into product development workflows. Own governance, standards, and best practices across platform systems, making them easy to adopt, measure, and maintain at scale. Partner with Product, Engineering, Legal, and cross-functional teams to manage compliance, policy, and operational considerations for platform systems. Identify opportunities to improve team velocity through better tooling, documentation, and platform enablement. Serve as a trusted platform leader and collaborator to product managers, marketers, engineers, and executives, clearly communicating roadmaps, rationale, and tradeoffs 8+ years of product management experience, including 3+ years in platform, infrastructure, or enablement-focused roles. Proven track record of owning cross-functional systems or platforms that support multiple product teams. Experience building or scaling internal platforms, developer tools, or shared infrastructure used by multiple teams. Strong technical fluency with the ability to translate between engineering detail and business value. Excellent product judgment with a bias toward scalable, maintainable systems. A consistent track record of cross-functional collaboration with engineering, data science, marketing, and design. A systems-oriented communicator who operates with high autonomy and a deep belief in Hinge's mission to make dating more intentional and in the platform foundations that enable that mission to scale. Fluency with AI tools and a track record of identifying opportunities to embed AI capabilities into platform systems and team workflows. Experience driving AI enablement across cross-functional organizations or helping teams adopt, experiment with, and scale AI-powered tooling effectively.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/40078674", "isPrivate": false}, {"id": 42323871, "name": "Director of UX Research, Dating Outcomes & Platform", "posting_name": "Director of UX Research, Dating Outcomes & Platform", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1782277460, "t_create": 1781113133, "ats_job_id": "9a8d4a8f-2880-4399-899b-5c1a20f1f9a4", "display_job_id": "9a8d4a8f-2880-4399-899b-5c1a20f1f9a4", "type": "ATS", "id_locale": "2405418512012034129-en", "job_description": "Define and drive the UX research vision, strategy, and roadmap for Dating Outcomes and Platform \u2014 prioritizing the questions that need to be answered before roadmaps are locked Lead, coach, and grow a team of seasoned, experienced researchers, setting a high bar for craft, rigor, and impact Operate as a strategic partner through synthesizing UXR and DS insights into POVs that shape product vision and strategy and inform executive decisions Represent Dating Outcomes and Platform insights clearly to senior leadership and cross-functional stakeholders, communicating roadmaps, tradeoffs, and product implications Drive cross-team synthesis and frameworks that unify insights across teams and product groups Identify structural and organizational gaps; proactively design ways of working that improve team velocity, cross-functional collaboration, and research quality Build a team culture grounded in curiosity, rigor, deep user empathy - and fun! 10+ years of UX research experience in consumer-facing industries, with 4+ years managing and developing professional researchers across multiple levels. Proven track record of leading research across complex, multi-team consumer product portfolios with clear examples of research directly shaping product strategy and measurable outcomes Deep expertise across qualitative and quantitative research methods \u2014 able to set the methodological bar across a team, partner fluently with Data Science, and integrate quant and qual into a unified research strategy Ability to operate at both the strategic and craft level \u2014 setting research vision while holding a high bar for rigor and execution across the team Experience managing and mentoring highly senior ICs \u2014 able to establish clear roles and responsibilities, protect independent scope, and support researchers who are deeply embedded in product strategy and operating at a level that may match or exceed their manager's domain depth Demonstrated ability to do the organizational glue work: identifying when teams aren't functioning well, diagnosing root causes, and driving the interventions to fix it Confident, clear communicator who can represent research strategy at VP-level forums, influence without authority across product, engineering, design, and data, and present complex tradeoffs accessibly Passion for innovation and exploring how emerging technologies, including generative AI, can elevate the craft and impact of research Passion for Hinge's mission of helping people build meaningful relationships", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/42323871", "isPrivate": false}, {"id": 29062284, "name": "Staff Machine Learning Engineer, Growth", "posting_name": "Staff Machine Learning Engineer, Growth", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1782277460, "t_create": 1746481441, "ats_job_id": "9638198d-e429-4945-802c-9c470e1ac692", "display_job_id": "R0004387", "type": "ATS", "id_locale": "R0004387-en", "job_description": "Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features Define and own the technical roadmap for ML within your product area and align with company-wide priorities 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 Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space. Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data Communicate effectively to audiences of various technical and non-technical backgrounds Strong programming skills: Proficiency in Python and ML libraries such as PyTorch Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus. System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing). Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus. Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. 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.. Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role Previous experience in User Growth or Monetization 3+ years of experience designing and developing end-to-end, production grade ML systems 4+ years of experience working in a cloud environment such as GCP, AWS, Azure 3+ years of experience leading projects with at least 1 other team member through completion. A degree in computer science, engineering, or a related field or equivalent experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29062284", "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": 1782277460, "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": 42508540, "name": "Senior Technical Recruiter", "posting_name": "Senior Technical Recruiter", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "People", "t_update": 1782277460, "t_create": 1781818422, "ats_job_id": "825cc934-7cd6-4462-a9a9-99a61558ebe1", "display_job_id": "825cc934-7cd6-4462-a9a9-99a61558ebe1", "type": "ATS", "id_locale": "711498515666113826-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. 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Design and operationalize a centralized knowledge management system that serves as the single source of truth for Trust & Safety. Own knowledge infrastructure\u2014including platform selection, configuration, and integrations. Implement version controls, logging, and retrieval mechanisms within that infrastructure. Build systems that link policy, guidance, and SOPs to prevent drift. Develop cascading change management processes to ensure downstream updates are triggered and tracked. Support role- and region-based access to knowledge, and align with cross-functional T&S partners on access standards and single source of truth use cases. Build feedback intake systems that leverage QA, user behavior signals, escalations, and operational data. Define and track program success metrics. Continuously improve knowledge quality and discoverability based on data. 2+ years of experience in a Knowledge Management program, with a track record of building or scaling knowledge systems in complex, regulated, or operational environments. Strong familiarity with knowledge platforms (e.g., Guru, Notion, Zendesk, CMS tools) and an understanding of their limitations. Expertise in taxonomy design, information architecture, and content structuring strongly preferred. Excellent communication skills\u2014you can articulate complex concepts clearly and succinctly to stakeholders across functions and levels. Analytically minded\u2014you use data from a variety of sources to identify trends and drive continuous improvement. Deeply curious and collaborative\u2014you ask good questions, challenge assumptions, and seek out perspectives that close knowledge gaps. Highly organized and comfortable working independently, with the judgment to escalate issues that could impact program quality or timelines. Passionate about keeping people safe online, regardless of personal familiarity with specific regional norms or cultures. Experience in Trust & Safety, content moderation, or platform operations. Familiarity with AI-assisted moderation workflows and the knowledge requirements they introduce. Background working in cross-functional environments with policy, legal, product, and vendor teams. 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Translate market intelligence, competitive talent insights, and hiring data into actionable recommendations that help leaders make informed talent decisions. Partner with leaders to anticipate future talent needs, assess organizational gaps, and develop proactive hiring plans before openings arise. Challenge assumptions, provide thoughtful perspective on talent availability and market dynamics, and influence hiring decisions through data and expertise. Develop deep expertise across key talent markets, maintaining a strong understanding of competitive landscapes, emerging skill sets, compensation trends, and organizational structures. Build and execute sophisticated sourcing strategies that leverage multiple channels, industry networks, referrals, events, and direct outreach to engage top talent. Lead end-to-end hiring for critical and high-impact roles, ensuring an exceptional experience for candidates and hiring teams. Continuously evaluate and improve interview frameworks, assessment methodologies, and hiring processes to increase quality, consistency, and efficiency. Drive calibration across interview teams, establish best practices for evaluation, and elevate hiring rigor through structured interviewing and competency-based assessments. Leverage AI-enabled recruiting tools and automation to improve recruiter productivity, streamline workflows, and enhance decision-making. Analyze recruiting metrics and funnel health to identify trends, uncover opportunities, and recommend improvements that drive stronger hiring outcomes. 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. 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