hinge jobs in Match Group

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Ensure the design system is well-documented and easily accessible to the iOS engineering team. Collaborate with cross-functional platform teams (e.g., Android, web) to ensure consistency of UI components and design principles across platforms. Support the development of Hinge product features by integrating and optimizing design system components. Support the triaging, debugging, and fixing of issues. Build technical alignment within the team through regular code reviews and technical feedback. Develop technical projects and plans that support and evolve the above, with an emphasis on improving the design system. Coordinate technical interview training and perform technical homework assessments, as well as leading technical on-site interviews and assisting with onboarding of new iOS engineers. Ensure new engineers are onboarded with a strong understanding of the design system and how to utilize it for product feature development.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/39098552", "isPrivate": false}, {"id": 38635885, "name": "Insights & Strategy Operations Lead", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1765256469, "t_create": 1761602968, "ats_job_id": "7fdc847d-e970-4f1b-93ea-ee03456bdb23", "display_job_id": "R0004627", "type": "ATS", "id_locale": "R0004627-en", "job_description": "Operational Leadership: Lead the planning and delivery of the team's work, bringing clarity to priorities, timelines, and deliverables so projects move smoothly from idea to impact. Budget Ownership: Oversee the Insights & Strategy budget, track spend, and guide investment decisions across research, partnerships, and tools. Resource & Capacity Planning: Partner with Insights & Strategy leadership to plan team bandwidth and resourcing, keeping the group focused on the highest-impact work. Agency and Vendor Management: Lead day-to-day relationships with external research and strategy partners, from scoping and contracting to ways of working. Partner with Legal and Procurement on contracts and compliance. In-House Research Operations: Scope and manage custom, in-house research projects from start to finish, ensuring rigor in methodology, compliance, recruitment, and cross-functional alignment. Strategic Planning & Roadmap Design: Partner with Insights & Strategy leadership on annual and quarterly planning. Determine what work should be done in-house vs. with external partners, sequence priorities thoughtfully, and keep the team focused on what matters most. Insight Activation: Create engaging ways to share insights across Hinge \u2014 from leadership sessions to company-wide moments \u2014 turning understanding into action. Systems & Continuous Improvement: Refine the tools, processes, and documentation that keep work transparent and effective. Make it easier for the team to see progress, learn from outcomes, and celebrate impact. Operational : 8+ years in operations, project management, or strategy roles \u2014 ideally within marketing, research, or insights \u2014 with a proven experience managing complex, multi-stakeholder initiatives from brief to delivery. Collaborative Strategist: A systems thinker and problem-solver who partners closely with researchers, strategists, and marketers to turn insight into action and bring structure to creativity. Mission-Driven: Passionate about Hinge's mission to inspire intimate connection and create a less lonely world. Experience with research and strategy teams or agencies. Familiarity with tools like Asana or Monday.com. Comfortable partnering with senior leadership and influencing decision-makers; experience working with C-suite leaders is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38635885", "isPrivate": false}, {"id": 39066000, "name": "Lead Product Manager, Account Integrity", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1765256469, "t_create": 1764163494, "ats_job_id": "5c6bd5b6-09ba-4f8c-b12e-34cca9aa58ce", "display_job_id": "5c6bd5b6-09ba-4f8c-b12e-34cca9aa58ce", "type": "ATS", "id_locale": "5888289348986781906-en", "job_description": "Own the end-to-end strategy and execution for authentication, identity, and verification across the Hinge platform Expand adoption of existing verification methods while identifying and launching new, user-friendly approaches Partner closely with cross-functional teammates in engineering, design, data science, and external vendors to deliver impactful experiences Design product solutions that balance simplicity for users with the rigor needed to deter and detect policy-violating actors Evaluate and integrate third-party solutions and vendors, ensuring they align with Hinge's safety, security, and privacy standards Analyze complex metrics and performance signals to guide decisions and continuously improve verification efficacy Advocate for Account Integrity in company-wide strategy and planning efforts, helping shape the roadmap for a safer Hinge 8+ years of experience working as a PM, or relevant experience Proven experience building identity, authentication, or verification products (e.g., age assurance, selfie or ID verification, KYC). Deep understanding of user trust, safety, or abuse-prevention challenges in consumer tech or marketplaces Ability to lead complex, multi-quarter initiatives with clarity, momentum, and alignment Excellent communication, product leadership, and executive presence. Ability to influence decisions and align stakeholders across levels and functions Familiarity with verification vendors and industry best practices; comfortable navigating build vs. buy tradeoffs Exceptional judgment, systems thinking, and ability to make principled tradeoffs in ambiguous spaces", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/39066000", "isPrivate": false}, {"id": 29062284, "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": 1765256469, "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", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1765256469, "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": 38689621, "name": "Lead Product Manager, Dating Outcomes", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1765256469, "t_create": 1761853267, "ats_job_id": "66a3e6a9-4e76-4b94-a375-34e0c52efa8c", "display_job_id": "R0004630", "type": "ATS", "id_locale": "R0004630-en", "job_description": "Build the long term strategy and roadmap for how Hinge improves dating outcomes through personalization, feedback loops, and thoughtful design Lead discovery and rapid experimentation across key moments in the dating journey. Partner with design, research, data science, and engineering to to identify high-impact opportunities that improve the quality and success of dater experiences. Translate insights from data and qualitative research into clear hypotheses and a focused roadmap. Work closely with engineering to deliver scalable, measurable improvements in user outcomes. Communicate priorities and tradeoffs clearly across teams and leadership. Collaborate with Marketing, Trust and Safety, and other cross-functional partners to ensure a cohesive and trustworthy experience that reinforces Hinge's mission and business. Coach and mentor other PMs on structured discovery, decision-making, and hypothesis-led development. 8+ years of product management experience in consumer tech, ideally in personalization or social connection products. Bonus if you have experience working on cold-start problems. Proven record of 0-1 discovery and launches that drove measurable outcomes. Experience working with Machine Learning and Artificial Intelligence-powered systems to improve user experiences. Strength in hypothesis-driven experimentation and comfort making decisions with incomplete data. Ability to lead complex, multi-quarter initiatives with clarity, momentum, and alignment. Strong intuition for user experience, storytelling, and emotional design. Excellent communication and influencing skills. Ability to bring clarity and alignment to ambiguous spaces and across teams to drive impact at scale. Curiosity about culture and how people form connections today. Genuine excitement for Hinge's mission to help people meet meaningfully.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38689621", "isPrivate": false}, {"id": 38600679, "name": "Senior Engineering Manager, Platform", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1765256469, "t_create": 1761164048, "ats_job_id": "f2f314a2-bd85-47ee-9bb5-99ea5051c21d", "display_job_id": "f2f314a2-bd85-47ee-9bb5-99ea5051c21d", "type": "ATS", "id_locale": "6821652466119719120-en", "job_description": "Define and deliver the Platform roadmap, translating strategy into measurable outcomes. Lead cloud infrastructure initiatives focused on reliability, scalability, security, and cost management. Build tools and automation that make our systems more consistent, observable, and self-service. Partner with product engineering teams to improve developer velocity and experience. Contribute to code reviews, architecture discussions, and platform documentation. Mentor engineers and foster a culture of technical excellence, accountability, inclusion, and autonomy grounded in clarity and trust. 10+ years in software engineering, including 4+ years in management. Deep technical background in cloud infrastructure (AWS preferred), distributed systems, or developer platforms. Proven success leading automation, reliability, and cost-efficiency efforts at scale. Strong communication and collaboration skills; thrives in cross-functional environments. Passion for developer experience and building tools that make engineers more productive.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38600679", "isPrivate": false}, {"id": 38115058, "name": "Lead Product Manager, Growth", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1765256469, "t_create": 1758565454, "ats_job_id": "010d512e-a8fb-42c6-92a9-6a3abbea5519", "display_job_id": "R0004631", "type": "ATS", "id_locale": "R0004631-en", "job_description": "Shape the roadmap for localization, compliance, and market enablement systems, aligning product initiatives with growth, retention, and user trust goals. Drive improvements in localization systems including language, currency, content, and UX adaptation. Support the development of frameworks for regional customization such as notifications, payments, and policies. Collaborate with Engineering and Data Science to ensure scalable infrastructure for geographic expansion. Partner with Trust & Safety, Legal, and Compliance teams to meet regional regulations around data, communication, and monetization. Define policies and tools that support safe, responsible product launches in new markets. Work with Product Marketing and Growth to support localized onboarding and engagement experiences. Collaborate with the experimentation team to ensure testing platforms support multi-market insights and help set up regional KPIs. Partner with stakeholders across engineering, marketing, legal, and design to communicate priorities and tradeoffs clearly. 9+ years of product management experience, with 4+ years in platform, international, or enablement-focused roles. Experience contributing to global product launches or building systems to support international expansion. Familiarity with localization, compliance, or regional product adaptation at scale. Strong technical fluency and the ability to translate engineering details into user value. Clear product judgment with a bias toward scalable, maintainable solutions. A proven ability to collaborate with cross-functional partners in engineering, data science, design, and product marketing. Comfort operating with high ownership and autonomy in ambiguous environments. A systems thinker with strong product intuition and communication skills. A belief in Hinge's mission to make dating more intentional\u2014and in the role platform excellence plays in delivering that mission globally.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38115058", "isPrivate": false}, {"id": 38038949, "name": "Senior Lead Product Manager, Platform", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1765256469, "t_create": 1758134999, "ats_job_id": "964e51f1-5b5c-42ea-9ddd-a3b7cf926434", "display_job_id": "964e51f1-5b5c-42ea-9ddd-a3b7cf926434", "type": "ATS", "id_locale": "6857440642107752919-en", "job_description": "Define the long-term roadmap and architecture for Hinge's notification and experimentation platforms, aligning infrastructure investments with company priorities. Build messaging systems that support relevant, timely, and safe user communication, improving user retention through personalization, targeting, and cross-channel coordination. Lead internal tooling efforts that enable rapid, responsible experimentation\u2014including feature flagging, targeting, metrics integration, and governance. Partner with Product Marketing, Trust & Safety, and Growth teams to manage compliance, policy, and global delivery considerations for communication systems. Set and uphold policies for experimentation design and success criteria that enable high-integrity learning across teams. Serve as a trusted platform leader and collaborator to product managers, marketers, engineers, and executives, clearly communicating roadmaps, rationale, and tradeoffs. 9+ years of product management experience, including 4+ years in platform, infrastructure, or enablement-focused roles. Proven track record of owning complex backend or cross-functional platforms at scale. Experience leading notification infrastructure (e.g., push systems, CRM tooling) or experimentation platforms (e.g., internal A/B testing, analytics integrations). Familiarity with compliance, legal, and data privacy considerations in global messaging and experimentation. 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. 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