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Serve as a thought leader on IP issues, advising legal and business leadership on protection strategy, risk, and innovation. Provide day-to-day IP counseling on issues such as trademark usage, copyright clearance, AI-generated content, open-source use, and feature launches. Drive enforcement of the company's IP rights by investigating infringement, sending cease-and-desist letters, negotiating settlements and coexistence agreements, and managing board proceedings and litigation. Partner with internal clients and outside counsel to file and prosecute patents globally, documenting and protecting new innovations. Lead IP strategy in connection with new feature development, brand expansion, and potential acquisitions. Track, evaluate, and refine IP strategy using metrics tied to enforcement success, innovation capture, portfolio efficiency, and brand equity. Draft and refine internal IP policies and playbooks, and deliver practical training to business teams. Collaborate cross-functionally with brand attorneys, product teams, and marketing to support IP aspects of commercial and product agreements. Supervise and mentor two direct reports, manage external counsel relationships, and oversee the IP team's budget and resource planning. Oversee IP operations, including tools, systems, and vendor relationships supporting global prosecution, maintenance, and enforcement. We could be a match if: You have a J.D. degree and membership in good standing in at least one state bar (Texas preferred). You have at least 10 years of experience in intellectual-property law with a top law firm and/or in-house legal department experience, including significant experience leading a team and developing and executing an IP portfolio strategy. You have experience with domestic and international patent prosecution and enforcement. You have experience enforcing trademarks, copyrights, and patents in litigation and pre-litigation, including researching infringement and infringers, drafting cease & desist letters, negotiating settlements, filing UDRP petitions, and handling inter-partes and ex-parte board proceedings. You have excellent writing and editing skills, and are comfortable drafting and revising letters, briefs, and discovery. You are an effective communicator, with the ability to establish and maintain effective relationships with clients, coworkers, and colleagues. You have the ability to work autonomously, issue spot, and provide incisive and pragmatic advice. You are an outside-the-box, strategic thinker. You have excellent problem-solving skills and can manage a project from beginning to end. You exercise good judgment and a high level of professional integrity. 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Communicate with clarity and influence. Own the narrative around plans, priorities, and decisions, whether you're reviewing tradeoffs with an engineer or presenting next steps to executive leadership. Develop features that shape dating. Own and evolve how we model, rank, and personalize recommendations. Lead your team through the full product development cycle, from research to concept to experiment to launch. Partner with UI-focused product and design teams to build a discovery experience that feels useful, personal, and emotionally intuitive. Make decisions grounded in insight. Use experiments, behavioral data, and research to guide decisions, while navigating ambiguity and imperfect signals. Partner with data science and research to understand how the system is performing and where to focus next. Collaborate across Hinge. Work with Growth, Trust & Safety, Marketing, and other teams to make sure recommendations feel integrated and aligned with the broader product experience. Champion fairness and integrity. Recommendations shape visibility and connection. Ensure the system reflects Hinge's values, avoids unintended bias, and supports an experience that feels safe and equitable for everyone. 6+ years of product management experience, ideally on personalization, recommendations, or other ML-powered consumer products Technical background or deep familiarity with the nuts and bolts of machine learning and AI A track record of building and improving consumer products at scale Experience partnering with engineering, data science, and research Strong communication skills, especially when translating complex ideas to non-technical audiences Comfort with ambiguity and making principled calls in high-impact spaces Curiosity about dating and the human side of product development An interest in the fairness, ethics, and inclusivity of algorithmic systems", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29613669", "isPrivate": false}, {"id": 29600525, "name": "Senior Software Engineer, Backend (Tinder Seoul)", "location": "Seoul", "locations": ["Seoul"], "hot": 0, "department": "Hyperconnect", "business_unit": "Engineering", "t_update": 1749704492, "t_create": 1749617554, "ats_job_id": "a6603e62-c3b9-4473-bb3b-0640af8009c6", "display_job_id": "a6603e62-c3b9-4473-bb3b-0640af8009c6", "type": "ATS", "id_locale": "7123470853075642242-en", "job_description": "ML/AI \uae30\ubc18 \ucd94\ucc9c \uc11c\ube44\uc2a4\uc758 \ubc31\uc5d4\ub4dc \uc2dc\uc2a4\ud15c \uc124\uacc4 \ubc0f \uad6c\ud604 Java/Kotlin \uae30\ubc18\uc758 Spring WebFlux \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uac1c\ubc1c \ubc0f \uc6b4\uc601 ElasticSearch, Kafka, DynamoDB, Redis, Flink \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc0b0 \uc2dc\uc2a4\ud15c\uacfc\uc758 \uc5f0\ub3d9 \ubc0f \uc6b4\uc601 \ub300\uaddc\ubaa8 \ud2b8\ub798\ud53d \ud658\uacbd\uc5d0\uc11c\uc758 \uc11c\ube44\uc2a4 \uc131\ub2a5 \uac1c\uc120 \ubc0f \uc548\uc815\uc131 \ud655\ubcf4 A/B \ud14c\uc2a4\ud2b8, \ub85c\uadf8 \ubd84\uc11d \ub4f1 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc81c\ud488 \uac1c\uc120\uc744 \uc704\ud55c \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc9c0\uc6d0 \uae00\ub85c\ubc8c PM, ML \uc5d4\uc9c0\ub2c8\uc5b4, \ub514\uc790\uc774\ub108, \ub370\uc774\ud130 \uc0ac\uc774\uc5b8\ud2f0\uc2a4\ud2b8 \ub4f1\uacfc\uc758 \ud611\uc5c5\uc744 \ud1b5\ud55c \uc0ac\uc6a9\uc790 \uc911\uc2ec \uc81c\ud488 \uac1c\ubc1c \uae30\ub2a5 \uac04 \uc5f0\uacc4\uc131\uacfc \uc7a5\uae30\uc801 \ud655\uc7a5\uc131\uc744 \uace0\ub824\ud55c \uc544\ud0a4\ud14d\ucc98 \uc124\uacc4 \ubc0f \ucf54\ub4dc \ud488\uc9c8 \uc720\uc9c0 7\ub144 \uc774\uc0c1\uc758 \ubc31\uc5d4\ub4dc \uac1c\ubc1c \uacbd\ub825\uc744 \ubcf4\uc720 Java \ub610\ub294 Kotlin \uae30\ubc18\uc758 Spring, WebFlux \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uac1c\ubc1c \uacbd\ud5d8 RDB, Redis, Kafka \ub4f1\uacfc\uc758 \uc5f0\ub3d9 \ubc0f \uc6b4\uc601 \uacbd\ud5d8 Kubernetes \ud658\uacbd\uc5d0\uc11c \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uc6b4\uc601 \uacbd\ud5d8 AWS \uae30\ubc18 \uc778\ud504\ub77c \uc6b4\uc601 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc790\uc728\uc801\uc774\uace0 \uc8fc\ub3c4\uc801\uc778 \uc5c5\ubb34 \uc218\ud589 \ub2a5\ub825 \ubb38\uc81c \ud574\uacb0 \ub2a5\ub825\uc774 \uc6b0\uc218\ud558\uace0, \uc0c8\ub85c\uc6b4 \uae30\uc220\uc5d0 \ub300\ud55c \ube60\ub978 \ud559\uc2b5\uacfc \uc801\uc6a9\uc774 \uac00\ub2a5\ud558\uc2e0 \ubd84 \ub2e4\uc591\ud55c \uc9c1\uad70, \ub2e4\uc591\ud55c \ubb38\ud654\uad8c\uacfc \uc6d0\ud65c\ud558\uac8c \ud611\uc5c5\ud560 \uc218 \uc788\ub294 \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \uc5ed\ub7c9", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29600525", "isPrivate": false}, {"id": 29567337, "name": "Product Manager II, Notifications", "location": "West Hollywood, California", "locations": ["West Hollywood, California"], "hot": 0, "department": "Tinder", "business_unit": "Product", "t_update": 1749704492, "t_create": 1749495523, "ats_job_id": "99c4f02d-91fc-4946-b0b0-8f0364c5366d", "display_job_id": "99c4f02d-91fc-4946-b0b0-8f0364c5366d", "type": "ATS", "id_locale": "8809460467883547035-en", "job_description": "Our Mission Launched in 2012, Tinder\u00ae revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, \u201cIt Starts with a Swipe\u201d\u2122\" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Role We're looking for a PM II to lead the strategy and execution of our ML-powered lifecycle notification program at Tinder. You'll work closely with ML engineers, data scientists, and cross-functional partners to build smarter, more personalized messaging systems that drive key business metrics and help millions of users form real connections. You'll own the end-to-end development of lifecycle content across Tinder's core features- delivered through push, in-app, SMS, and more. You'll be joining the Engagement team, which owns all user-facing notifications at Tinder. Our mission is to deliver the right message to the right user at the right time- driving real dating outcomes. We support a homegrown CRM platform, own lifecycle notification development, and oversee operations to send billions of notifications each quarter. Through ML-driven targeting and bold experimentation, we drive feature adoption, retention, and meaningful engagement. We move fast, learn constantly, and scale with purpose. This is a hybrid role and requires in-office collaboration three days per week. This position is located in Los Angeles, CA. In this role, you will: Define and drive the roadmap for ML-powered notification personalization and delivery systems Partner with teams across Tinder to develop effective lifecycle messaging that drives engagement and retention Communicate experiment roadmaps, hypotheses, and results clearly across technical and non-technical audiences Own product specs and lead development for ML-based lifecycle features (client, backend, and content layers) Leverage Tinder's analytics tools to evaluate campaigns and identify opportunities for improvement using both quantitative and qualitative data Make thoughtful, data-informed trade-offs between scope, quality, and speed\u2014and articulate those decisions to stakeholders Understand the Tinder ecosystem, user psychology, and behavioral patterns to inform your product strategy You'll need: Experience: you have 3+ years of product management experience, ideally at a consumer tech or mobile-first company Technical: direct experience working with ML teams on notifications or personalization systems Analytical: you trust data, know your way around dashboards, and can write SQL when needed Proactive: you turn vague ideas into structured plans and drive them to completion Naturally curious: you dig into the \u201cwhy\u201d behind user behavior and use those insights to guide decisions Clear communicator: you distill complex topics and collaborate well with engineers, designers, marketers, and leadership $ 140000- $160000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in West Hollywood, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. Tinder", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29567337", "isPrivate": false}, {"id": 29536575, "name": "Online Acquisition Marketing Assistant", "location": "Paris, France", "locations": ["Paris, France"], "hot": 0, "department": "Evergreen & Emerging", "business_unit": "Marketing", "t_update": 1749704492, "t_create": 1749195424, "ats_job_id": "0bd0a879-b460-476f-8e21-aa3004ce527c", "display_job_id": "0bd0a879-b460-476f-8e21-aa3004ce527c", "type": "ATS", "id_locale": "75244663839854196-en", "job_description": "At Meetic, a Match Group company, we have been pioneering online dating for over 20 years, leveraging our legacy to reinvent how people meet, connect, and build meaningful relationships across Europe and beyond. As part of Match Group, we manage a diverse portfolio of brands, from iconic names like Meetic, Match, Lexa, and LoveScout to tailored experiences for singles over 50, OurTime, DisonsDemain, Zweizam, and single parents, Even and Stir. Our teams design, build, and scale platforms across 20+ countries and 18 languages, ensuring every single finds the right match for their lifestyle and lifestages. We also drive growth for other Match Group brands like The League, OkCupid, Archer, Salams, and Plenty Of Fish, expanding our impact worldwide. Role overview : As an Online Acquisition Apprentice, you'll support the team in accelerating user growth across our global portfolio of dating apps, including brands like Plenty of Fish and OkCupid. Working closely with both the creative team and media partners, you'll help develop and optimize acquisition strategies, execute campaign planning and performance analysis, and gain hands-on experience in a dynamic, data-driven marketing environment. This role offers a unique opportunity to learn how digital marketing drives business impact at scale. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days / week in our office, 53 rue de Chateaudun, 75009 Paris. How you'll make an impact : Implement and optimize our online acquisition campaigns worldwide. Analyse campaign data, synthesize results and identify actionable opportunities and best practices to improve our on-going campaigns (Google, Meta, Affiliate partners, Tiktok . ). Share creative feedback and reports to improve ad performance. Spot and launch new media partners to expand reach. We could be a match if : You are seeking an apprenticeship opportunity as part of a Master's program. You have hands-on experience with Meta Ads or Google Ads platforms. You're curious, proactive, rigorous, and open-minded. You're comfortable working with Excel or Google Sheets. You enjoy collaborating with creative, tracking, and media partner teams. You are fluent in English, both written and spoken. $ - $ a year None Meetic, a Match Group company, is an equal opportunity employer and we value the rich dynamics that diversity brings to our company. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29536575", "isPrivate": false}, {"id": 29487638, "name": "Staff AI Engineer, Trust & Safety Operations", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1749704492, "t_create": 1748961320, "ats_job_id": "8e55b4e5-27a4-415c-850a-f3532032c975", "display_job_id": "8e55b4e5-27a4-415c-850a-f3532032c975", "type": "ATS", "id_locale": "2379892612527328112-en", "job_description": "Own the technical roadmap for AI automation across Moderation, Appeals, and Support 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 Trust & Safety initiatives to promote user safety and improve AI-powered products and workflows. Agentic & workflow-orchestration expertise: Proven ability to design, build, and operate multi-step LLM agents with modern 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: Comfortable shipping quick proofs of concept, running A/B or shadow launches, and iterating based on data. 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, ideally in Trust & Safety, customer support, or adjacent domains. 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows. 1+ years of hands-on work prototyping or operating agentic workflows (e.g., MCP, Agentspace, n8n) in real-world or open-source projects. 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": 29459789, "name": "Internship Data Analyst", "location": "Paris, France", "locations": ["Paris, France"], "hot": 0, "department": "Meetic", "business_unit": "Finance & Analytics", "t_update": 1749704492, "t_create": 1748872099, "ats_job_id": "2cfb41f4-57bb-42cc-b6e9-05eff8200886", "display_job_id": "2cfb41f4-57bb-42cc-b6e9-05eff8200886", "type": "ATS", "id_locale": "8640599057803650658-en", "job_description": "At Meetic, a Match Group company, we have been pioneering online dating for over 20 years, leveraging our legacy to reinvent how people meet, connect, and build meaningful relationships across Europe and beyond. As part of Match Group, we manage a diverse portfolio of brands, from iconic names like Meetic, Match, Lexa, and LoveScout to tailored experiences for singles over 50, OurTime, DisonsDemain, Zweizam, and single parents, Even and Stir. Our teams design, build, and scale platforms across 20+ countries and 18 languages, ensuring every single finds the right match for their lifestyle and lifestages. We also drive growth for other Match Group brands like The League, OkCupid, Archer, Salams, and Plenty Of Fish, expanding our impact worldwide. Role Overview: As a Data Analyst Intern, you'll help build the foundation of our monitoring dashboards and deliver key insights to support business and product decisions. Working closely with analysts and cross-functional teams, you'll design KPIs, build visualizations, and contribute to improving data reliability and accessibility. You'll play a key role in transforming raw data into meaningful tools that guide strategic decisions. The position: Meetic relies heavily on data to manage its activities, and is constantly developing the use of this asset. In this context, the Data & Analytics team is at the crossroads of key developments. We are looking for a Data Analysis intern to join the Meetic Data & Analytics team to help us improve our tools and daily analysis. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days / week in our office, 53 rue de Chateaudun, 75009 Paris. How you'll make an impact: Build and maintain dashboards to monitor business KPIs (QuickSight). Support ad hoc analyses for product and business teams. Contribute to improving data quality and reporting tools. We could be a match if: You are a student of an Engineering School and looking for a 5/6 months internship. Possess a strong sensitivity towards data analysis. You have skills in data visualization tools (QuickSight is a plus). You have a good command of SQL or are curious enough to learn it quickly. You are programming in one or more languages. You're curious, rigorous, proactive and open-minded. You are a strong team player with the ability to collaborate effectively in a fast-paced environment. $ - $ a year None Meetic, a Match Group company, is an equal opportunity employer and we value the rich dynamics that diversity brings to our company. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29459789", "isPrivate": false}, {"id": 29431407, "name": "Staff Software Engineer, Backend (Match Group Americas, LLC, West Hollywood, CA)", "location": "West Hollywood, California", "locations": ["West Hollywood, California"], "hot": 0, "department": "Match Group", "business_unit": "Engineering", "t_update": 1749704492, "t_create": 1748633871, "ats_job_id": "1282e254-3560-4462-b6f1-d2c42ba7fa14", "display_job_id": "1282e254-3560-4462-b6f1-d2c42ba7fa14", "type": "ATS", "id_locale": "8054674568230400795-en", "job_description": "Analyze user needs and software requirements to determine the feasibility of design within time and cost constraints. 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