hinge jobs in Match Group

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Project manage the Policy team's priorities to drive clarity on complex or novel policy issues. Monitor enforcement trends and decision quality, partnering with Moderation teams to identify policy ambiguity, escalate issues, and refine policy guidance accordingly. Track and report on policy implementation through data dashboards and structured project updates, including the status of policy initiatives (e.g., policy audits, AI policy integration, localization). Own and evolve Hinge's policy documentation processes: ensure version control, documentation standards, and cross-functional visibility. Support policy measurement and iteration by partnering with Data, Product, and Ops to analyze how policies are enforced. Contribute to quality improvement initiatives, including feedback loops with Moderation teams. 5+ years of experience in content moderation, program management, trust & safety, data analytics, or compliance at a global tech platform. Demonstrated success working cross-functionally, particularly in content moderation or AI governance. Strong writing skills; ability to turn complex policy concepts into actionable guidance Familiarity with how policy gets enforced through scaled operations teams and how to track and improve the quality of that enforcement. Proficiency in Looker, Tableau, or SQL. Experience using data and feedback to drive continuous policy iteration. Experience writing scalable policy guidance across global or third-party teams.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/40118764", "isPrivate": false}, {"id": 40367068, "name": "Senior Education & Outreach Specialist", "posting_name": "Senior Education & Outreach Specialist", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Trust & Safety", "t_update": 1773032516, "t_create": 1771542627, "ats_job_id": "48196376-b456-480c-9050-2d1d3269190f", "display_job_id": "48196376-b456-480c-9050-2d1d3269190f", "type": "ATS", "id_locale": "2740242744377845037-en", "job_description": "Develop and manage the completion of projects: Develop educational materials and resources that include policies, standards, and best practices to internal and external stakeholders. Track feedback and use insights generated to share within the Education & Outreach team to improve current educational materials. Collaborate with cross functional teams: Provide direct educational support to internal teams across Hinge and MG responsible for content moderation, support, appeals, or global escalations. This includes the follow through of assigned projects, along with the development of ad hoc education or outreach upon request from Hinge stakeholders. Scale and Improve internal education: Collaborate within Education & Outreach, along with Operations, Policy, and Product Leads to ensure all materials provided to users and agents reflect our current policies and product offerings and meet regulatory, and legal standards. Regularly meet with stakeholders across Operations, Product, and Policy to understand potential updates and work with Education & Outreach to develop materials appropriate for any changes. The ideal candidate should have 1+ years of relevant work in a training role, account management, client services, product, or Trust & Safety. This includes experience interfacing with Operations, Product, Communications, Marketing, or Legal partners as well as experience in developing processes for operational excellence within their organization. Effective communication is crucial in this role. You have excellent communication skills, and be able to articulate complex concepts clearly and succinctly to internal stakeholders who may not be familiar with Hinge or with dating Apps. A willingness to learn and remain deeply curious about our users and their needs, while also partnering across stakeholders to challenge assumptions, understand problem sets in detail, and confidence to seek other inputs to supplement experiential and cultural knowledge gaps. The ideal candidate should have a \"no task is too small\" attitude and a willingness to dive into the details to move projects along and solve complex problems. You enjoy working in a fast-paced and ever-changing environment. You are able to use data sourced from a variety of internal and external resources to identify trends, and suggest strategies to improve our internal Education efforts. You are passionate about supporting users around the world, regardless of personal experience with specific regional norms, expectations or culture. You have a deep understanding of user expectations, and make every decision with the user at the forefront.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/40367068", "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": 1773032516, "t_create": 1770400009, "ats_job_id": "c79d226f-eb60-438c-9d45-b251dbc9d232", "display_job_id": "c79d226f-eb60-438c-9d45-b251dbc9d232", "type": "ATS", "id_locale": "5526502406536352805-en", "job_description": "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. Collaborate with Product, Design, Legal, and Engineering to manage compliance, governance, and best practices related to accessibility. Build systems and processes that make accessibility and design standards easy to adopt, measure, and maintain across teams. 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 platform leader and trusted partner to product teams, helping them leverage design systems and accessibility tooling to ship faster and with higher confidence. 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 working closely with design systems, accessibility initiatives, or UX platforms (direct ownership or deep partnership). Strong technical fluency and comfort collaborating with engineers on shared systems and tooling. 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\u2014and in the platform foundations that enable that mission to scale.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/40078674", "isPrivate": false}, {"id": 39066000, "name": "Lead Product Manager, Account Integrity", "posting_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": 1773032516, "t_create": 1764163494, "ats_job_id": "5c6bd5b6-09ba-4f8c-b12e-34cca9aa58ce", "display_job_id": "R0004723", "type": "ATS", "id_locale": "R0004723-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": 29487638, "name": "Staff AI Engineer", "posting_name": "Staff AI Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1773032516, "t_create": 1748961320, "ats_job_id": "8e55b4e5-27a4-415c-850a-f3532032c975", "display_job_id": "R0004427", "type": "ATS", "id_locale": "R0004427-en", "job_description": "Own the technical roadmap for AI automation across high-volume operational workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production. Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems. Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring. Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration. Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency. Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams. Mentor and educate ML Engineers and Platform Engineers on new trends and research in AI/ML that can be applied to initiatives to improve user outcomes, promote safety, and improve AI-powered products and workflows. Production-grade agent orchestration and state management: Proven ability to design, build, and operate highly reliable multi-step LLM agents, emphasizing state machine design, reliable tool calling, and recovery from failure states within coordination frameworks. Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases. Rapid prototyping & experimentation: Proven ability to ship and iterate quickly. Skilled at leveraging fast proofs of concept and early data to drive continuous tuning and feature improvement with high velocity. Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas. Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling. Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption. Working through ambiguity: Proven skill thriving in high-ambiguity, fast-moving environments\u2014prioritizing effectively, adapting plans quickly, and delivering impact amid shifting requirements. 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems. 2+ years delivering solutions that combine automated decision support with human-in-the-loop review. 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows. 1+ years of hands-on experience designing and operating stateful, multi-step agentic workflows (e.g., LangGraph, AutoGen, or similar internal frameworks) in production, moving beyond simple single-turn chatbot or RAG demos. A degree in computer science, engineering, or a related field (or equivalent practical experience).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29487638", "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": 1773032516, "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": 1773032516, "t_create": 1704997239, "ats_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "display_job_id": "R0004668", "type": "ATS", "id_locale": "R0004668-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": 40663823, "name": "Senior Product Design Manager, Trust & Safety", "posting_name": "Senior Product Design Manager, Trust & Safety", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1773032516, "t_create": 1772650896, "ats_job_id": "c5e2c215-2f6f-4a49-a308-b27eb8dcb06d", "display_job_id": "c5e2c215-2f6f-4a49-a308-b27eb8dcb06d", "type": "ATS", "id_locale": "651981931354757441-en", "job_description": "Design Leadership and Execution: Lead design across Trust & Safety, setting direction for how safety and trusted connection show up throughout the Hinge experience. Guide your team in turning ambiguous problem spaces and strategic priorities into thoughtful user journeys and high-quality product experiences. Stay close to the work to ensure clarity, cohesion, and strong execution from concept through launch. Craft and Systems Thinking: Maintain a high bar for visual, interaction, and systems thinking across squads. Ensure safety experiences feel intuitive, human, and cohesive. Partner with Design Systems and Content Design to evolve scalable patterns that support complex, emotionally nuanced moments. Mentorship and Influence: Manage and develop a team of four designers across three squads, including product and content design. Provide clear direction, meaningful feedback, and growth pathways. Lead critiques that elevate quality, model strong collaboration, and foster a culture of curiosity, experimentation, and healthy debate. Strategic Collaboration and Impact: Partner closely with senior leaders across Product, Engineering, Research, Data Science, Operations, and Policy to shape vision and align priorities. Influence roadmap decisions, bring design into strategic conversations early, and ensure Trust & Safety teams experience Design as a true thought partner. Innovation and Forward Thinking: Champion design-led innovation in one of the most emotionally complex areas of our product. Encourage experimentation and forward-looking solutions that strengthen user trust while supporting business and operational realities. 5+ years of experience managing product designers, including senior-level talent Previously operated as a Lead-level IC before moving into management Proven track record of developing designers and building high-performing teams Strong design instincts and the ability to recognize and elevate quality work Experienced in driving work from ambiguous problem space to shipped product Skilled at building strategic partnerships with senior Product and Engineering leaders Clear, compelling communicator who can create energy around complex domains Experience designing for Trust & Safety, community health, marketplace integrity, identity, or privacy. Familiarity with experimentation, behavioral frameworks, or machine learning signals used to detect or prevent harmful interactions. 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Contribute to the evolution of Hinge's voice and tone frameworks for safety and integrity, balancing empathy, clarity, and accountability in how we talk about safety, privacy, and trust. Use a systems thinking approach to identify opportunities to improve and scale consistent, transparent communication across product surfaces. Model thoughtful, user-centered content design grounded in clarity and purpose; provide thoughtful feedback; and contribute to a collaborative, curious, and high-craft design culture. 5+ years of experience in content design, UX writing, or related fields. Experience designing for complex or sensitive product spaces such as safety, privacy, or identity. Experience using generative AI to drive ideation and developing user-facing LLM content.Ability to structure and simplify ambiguous or evolving problem areas. Expert writing and editing skills\u2014able to make complex ideas feel simple, empathetic, and human. Demonstrated systems thinking: connecting language, frameworks, and design systems to shape cohesive experiences. Knowledge of accessibility, localization, and inclusive content design practices. Experience using research and data to inform and iterate on content decisions. Excellent communication and collaboration skills, with a calm, solutions-oriented approach. Content Craft: Expert execution across the content design lifecycle\u2014from UX writing and information architecture to testing and iteration. Brings precision, empathy, and clarity to every experience. Systems Thinking: Designs scalable frameworks and content patterns that create consistency and quality across multiple surfaces and product areas. Complex Problem Solving: Navigates nuanced, high-trust spaces with creativity and rigor. Balances empathy, clarity, and compliance to craft responsible solutions that protect and empower users. 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