Match Group jobs in tokyo japan

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We're based in Dallas, TX with offices in Dallas, New York City, Los Angeles, and Tokyo. Match Group, through its portfolio companies, is a leading provider of dating products available globally. Our portfolio of brands includes Tinder, Match, OkCupid, Hinge, PlentyOfFish, Pairs, Match Japan, Tinder Japan, as well as a number of other brands, each designed to increase our users' likelihood of finding a meaningful connection. The Law Enforcement Operations team plays a crucial role in maintaining the lawful and safe environment of our platforms. At the core, we strive to build trusted relationships with law enforcement partners across the globe. In this role, you will be responsible for reviewing and responding to legal requests such as subpoenas, search warrants, court orders, and emergency disclosure requests. We're looking for someone that has excellent judgement, strong attention to detail, a firm understanding of legal frameworks, and has exceptional communication skills. How you'll make an impact: You will analyze, assess, prioritize, and respond to a variety of sensitive requests, including those from law enforcement and government agencies, subpoenas and search warrants, all within specified SLAs. You have the ability to effectively and clearly communicate with diverse teams and regions, translating and conveying information accurately in both English and Japanese while remaining sensitive to cultural differences. You will represent Match Group and its brands in clearly responding to legal process and policy questions from law enforcement, governmental agencies, and internal parties, both in writing and over the phone. You will monitor legal inboxes for law enforcement and other inquiries and manage accordingly. You will preserve account details from escalations for various Match Group brands. You will exhibit operational excellence as part of a team handling a large volume of incoming requests. You will work with cross-functional teams, including Match Group brands, trust & safety teams, privacy and litigation, in your response work and to identify improvements to standards and processes. You will evaluate and respond to law enforcement requests in a manner consistent with the privacy and security of business and user information, in accordance with the law and Match Group's various policies and procedures. You will exhibit meticulous attention to detail and maintain accuracy, adapting to the diverse legal and procedural requirements of various Match Group brands and markets. This role requires the ability to analyze and resolve complex challenges, leveraging internal networks as necessary, and developing proposed solutions for supervisory review and approval. You might be a match if: You have at least three (3) years of high-volume legal and/or customer care support experience dealing with escalations, content moderation, litigation, safety and/or criminal issues, among others. You have a Bachelor's Degree and/or law office experience with knowledge of legal documents (civil and criminal subpoenas, court orders and search warrants) (a strong plus). You have strong research and writing skills and excellent attention to detail. You are comfortable learning and working with various software and technology (Kodex, Jira, PC, Mac, MS, Google Suite, online research, etc.). You are comfortable interacting with content and fact patterns that may be disturbing, including but not limited to graphic images, videos and writings, offensive or derogatory language, child safety, and other potentially objectionable material. You are comfortable engaging with law enforcement partners, conducting public presentations, and fostering strong, collaborative relationships. You are fluent in English and Japanese as you will predominantly support Japanese-speaking countries, specifically Japan, as well as Taiwan and Korea. Proficiency in additional languages such as Korean and Mandarin Chinese is a strong plus. You are committed to following Company processes and guidelines to solve problems and can exercise sound judgment within a demanding environment. You can easily switch between tasks and effectively manage many projects simultaneously. You can work occasional evenings and weekends as exigent cases that are time sensitive may require. $ - $ a year None eureka", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/39926885", "isPrivate": false}, {"id": 17634034, "name": "Head of Product, Eureka", "posting_name": "Head of Product, Eureka", "location": "Tokyo", "locations": ["Tokyo"], "hot": 0, "department": "Eureka", "business_unit": "Product", "t_update": 1775883759, "t_create": 1692609524, "ats_job_id": "281e4082-5cca-42d2-8ecf-dd5121f28235", "display_job_id": "281e4082-5cca-42d2-8ecf-dd5121f28235", "type": "ATS", "id_locale": "7880080663436577367-en", "job_description": "Drive \"Pairs\" Product Roadmap and Execution: Take full ownership of the \"Pairs\" product roadmap, strategically advancing the product vision through effective collaboration with the leadership team. Strategic Planning: Collaborate with the CEO to craft short, medium, and long-term product plans, optimizing key performance metrics. Process Implementation: Implement robust product management processes and best practices, ensuring consistent and efficient delivery of products and features in partnership with cross-functional teams. Market Analysis and Insights: Stay ahead of industry trends, competitive landscape and technological advancements, providing valuable insights to shape the future of the product, closely working with Strategy and Consumer Insight teams. Innovation and Collaboration: Collaborate with the Group Tech/Innovation team to leverage cutting-edge capabilities, ensuring \"Pairs\" remains at the forefront of innovation. Team Leadership and Scaling: Lead, mentor, and scale the product team, while strategically addressing hiring needs and optimizing the organizational structure for successful execution. Cultural Champion: Embody and promote the company's principles and mission, instilling enthusiasm and dedication to the culture and core values throughout the organization. User Trust and Safety: Assume responsibility for user safety, both online and offline, overseeing the development of systems and tools to enhance user trust and safety. Company Alignment: Collaborate closely with senior management to establish and communicate company objectives (OKRs), guiding teams toward the overarching vision. Global Expansion: (plan TBD) Lead internationalization efforts, expanding Eureka's offerings to diverse user segments and markets, fostering platform growth. Extensive Leadership Experience: Minimum 15 years of experience managing tech businesses and KPIs, demonstrating a proven track record of driving business growth and transformation. Product Head Expertise: 5-10 years of experience in a Product Head role, successfully managing substantial teams and collaborating with cross-functional units. Global Tech Exposure: 5-10 years of experience at a global tech company with international presence, showcasing familiarity with diverse markets. Scale and Innovation: Demonstrated history of leading high-performance product teams that have scaled innovative growth-stage companies. Team Management: Proven ability to hire, manage, and mentor product, design, Product BI, and customer care teams. Strategic Collaborator: Proficient bridge-builder, capable of contributing strategically while also executing tactically, fostering essential partnerships across teams, functions, and departments. Data-Driven Approach: Possesses a customer-focused, organized, data-driven mindset, ensuring adherence to a well-defined product development lifecycle. Innovative Mindset: Comfortable making significant market-driven decisions, iterating on existing products, and driving innovation with an innovative product strategy. Exceptional Communication: Excellent communication skills in both Japanese and English, adept at conveying clear, inclusive, and transparent views of progress, pivots, and tradeoffs. Passionate Mission Alignment: Deeply passionate about Pairs' mission, vision, and values, demonstrating a strong alignment with the company's purpose. Market Expansion Experience: Experience in expanding into new markets, both domestically and internationally, is a plus. Trust and Safety Exposure: A track record with B2C products that involve trust and safety components is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/17634034", "isPrivate": false}, {"id": 30250356, "name": "Performance Marketing Manager (Tinder Japan)", "posting_name": "Performance Marketing Manager (Tinder Japan)", "location": "Tokyo", "locations": ["Tokyo"], "hot": 0, "department": "Match Group", "business_unit": "MG APAC", "t_update": 1775883759, "t_create": 1752460183, "ats_job_id": "08f33998-cc49-4f1d-b378-c5573f132d89", "display_job_id": "R0004398", "type": "ATS", "id_locale": "R0004398-en", "job_description": "Manage reporting with intelligence to lead solid implications for app acquisition campaigns across Google (UAC), Meta, and other mobile platforms. Update and maintain campaign performance dashboards for Japan in partnership with media agencies. Analyze key KPIs (Installs, CPI, ROAS, retention, LTV) and help drive insights by geography and audience cohort with develop and sustain healthy eco-system. Collaborate with the media and strategy teams to support budget allocation, optimization, and localization efforts. Ensure accurate attribution setup through MMPs for app journeys. Support A/B testing on creatives, targeting, and landing flows; track test results and recommend improvements. 7+ years' experience in performance marketing at a top tech or gaming company in Japan or media agency managing large-scale budgets Strong grasp of digital metrics like CPR, ROI, ROAS, and funnel KPIs as well as mid to long term business metric like brand perceptions Proven success managing multiple complex initiatives with strategic focus and operational excellence Hands-on experience with platforms like Google Ads, Meta Ads Manager, and mobile attribution tools Strong analytical skills with proficiency in Excel/Google Sheets Comfortable working with large datasets and presenting insights in a structured manner Strong understanding of full funnel metrics Ability to prioritize for maximum business impact in a high-velocity environment as well as capacity to manage multiple initiatives in parallel Exceptional interpersonal skills and a team-first mindset Fluent in both Japanese 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Engineer\uff09", "posting_name": "\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30cb\u30a2\uff08Machine Learning Engineer\uff09", "location": "Tokyo", "locations": ["Tokyo"], "hot": 0, "department": "Eureka", "business_unit": "IT, Technology", "t_update": 1775883759, "t_create": 1775206078, "ats_job_id": "6c2a640c-5e41-4545-81ee-66e0f8868b4f", "display_job_id": "6c2a640c-5e41-4545-81ee-66e0f8868b4f", "type": "ATS", "id_locale": "8772932725993430824-en", "job_description": "\u30a8\u30a6\u30ec\u30ab\u306f\u3001\u771f\u5263\u306b\u30d1\u30fc\u30c8\u30ca\u30fc\u3092\u898b\u3064\u3051\u305f\u3044\u3068\u8003\u3048\u3066\u3044\u308b\u65b9\u306b\u5411\u3051\u305f\u604b\u6d3b\u30fb\u5a5a\u6d3b\u30de\u30c3\u30c1\u30f3\u30b0\u30a2\u30d7\u30ea\u300cPairs\uff08\u30da\u30a2\u30fc\u30ba\uff09\u300d\u3092\u904b\u55b6\u3057\u3066\u3044\u308b\u4f1a\u793e\u3067\u3059\u3002Pairs\u306f\u3001\u65e5\u672c\u56fd\u5185\u3067\u7d2f\u8a08\u767b\u9332\u65702,500\u4e07\u4ee5\u4e0a\u306e\u65e5\u672c\u6700\u5927\u7d1a\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u30c7\u30fc\u30c6\u30a3\u30f3\u30b0\u30a2\u30d7\u30ea\u3067\u3059\u3002 2012\u5e74\u306b\u65e5\u672c\u7248\u30012013\u5e74\u306b\u53f0\u6e7e\u7248\u30fb2025\u5e74\u306b\u97d3\u56fd\u7248\u306e\u30b5\u30fc\u30d3\u30b9\u958b\u59cb\u3057\u3066\u4ee5\u6765\u3001\u9806\u8abf\u306b\u6210\u9577\u3092\u7d9a\u3051\u300170\u4e07\u4eba\u4ee5\u4e0a\u306e\u65b9\u304cPairs\u3067\u304a\u76f8\u624b\u3092\u898b\u3064\u3051\u3066\u3044\u307e\u3059\u3002 2015\u5e74\u306b\u306f\u3001\u4e16\u754c\u4e2d\u3067\u30aa\u30f3\u30e9\u30a4\u30f3\u30c7\u30fc\u30c6\u30a3\u30f3\u30b0\u30a2\u30d7\u30ea\u3092\u5c55\u958b\u3059\u308bMatch Group\u306b\u30b8\u30e7\u30a4\u30f3\u3057\u3001\u79c1\u305f\u3061\u306e\u30df\u30c3\u30b7\u30e7\u30f3\u3067\u3042\u308b\u300c\u4eba\u751f\u306b\u201d\u3042\u3063\u3066\u3088\u304b\u3063\u305f\u201d\u3068\u601d\u3063\u3066\u3082\u3089\u3048\u308b\u3082\u306e\u3092\u300d\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u3001\u65e5\u672c\u56fd\u5185\u3060\u3051\u3067\u306a\u304f\u3001\u30b0\u30ed\u30fc\u30d0\u30eb\u3067\u66f4\u306a\u308b\u6210\u9577\u3092\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002 \"Pairs\" is an online dating app used by more than 25 million people in Japan. Since launch, we have received success stories from over 700,000 people. Pairs is the first-in-market to offer 24/7 in-house customer service, including text and image monitoring, so our users' safety and security are always ensured. We created Pairs to help singles discover new and interesting ways to find a life partner. In the United States, more than 1 in 3 couples met their partner online. In Japan more than 70 per cent of singles claim to have no partner. As the number 1 online dating service in Japan, we're working hard every day to help singles find their true love. Since the release of Pairs in October 2012, we have helped to create opportunities for many users to find partnership and marriage. Pairs offers the opportunity to find an ideal partner that matches one's own values through various search features and a well-developed MyTag. Everyday, we receive many reports of successful matches from across Japan and from overseas. It is our hope that more and more opportunities for wonderful relationships will be created, which inspires us to improve our service every day. \u5b9f\u969b\u306e\u696d\u52d9\u5185\u5bb9\uff1a \u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30cb\u30a2\u3068\u3057\u3066\u3001\u63a8\u85a6\u3084\u691c\u7d22\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3084\u753b\u50cf\u51e6\u7406\u3068\u305d\u306e\u7d50\u679c\u304c\u30b7\u30b9\u30c6\u30e0\u306e\u4e2d\u5fc3\u3068\u306a\u308b\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u643a\u308f\u308a\u3001\u7279\u306b embeddings / vector search \u3092\u7528\u3044\u305f\u8fd1\u508d\u691c\u7d22\u3001candidate generation / retrieval \u3092\u542b\u3080\u63a8\u85a6\u30fb\u691c\u7d22\u6a5f\u80fd\u306e\u6539\u5584\u3092\u901a\u3058\u3066\u3001\u30d7\u30ed\u30c0\u30af\u30c8\u30c1\u30fc\u30e0\u304c\u305d\u308c\u3089\u306e\u7d50\u679c\u3092\u6b63\u3057\u304f\u5229\u7528\u3057\u7d99\u7d9a\u7684\u306b\u30d7\u30ed\u30c0\u30af\u30c8\u6307\u6a19\u3092\u6539\u5584\u3067\u304d\u308b\u72b6\u614b\u306b\u5c0e\u304f\u3053\u3068\u3002 As a Machine Learning Engineer, you will work on projects where recommendation, search, NLP, and image processing are core to the system. You will focus on improving recommendation and search functionalities - particularly through embeddings, vector search, and retrieval (including candidate generation) - to enable product teams to effectively leverage these outputs and continuously drive product KPI improvements. \u4ed5\u4e8b\u306e\u9032\u3081\u65b9\uff1a \u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30cb\u30a2\u3068\u3057\u3066\u30d7\u30ed\u30c0\u30af\u30c8\u30c1\u30fc\u30e0\u3068\u5171\u306b\u4f01\u753b\u6bb5\u968e\u304b\u3089\u30b3\u30df\u30c3\u30c8\u3057\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u76ee\u7684\u3084\u8a55\u4fa1\u6307\u6a19\u3001\u4f55\u3092\u30a2\u30a6\u30c8\u30ab\u30e0\u3068\u3059\u308b\u304b\u306e\u5b9a\u7fa9\u304b\u3089\u30d7\u30ed\u30c0\u30af\u30c8\u30de\u30cd\u30fc\u30b8\u30e3\u3092\u652f\u63f4\u3059\u308b\u3002 \u30cf\u30f3\u30ba\u30aa\u30f3\u3067\u5206\u6790\u53ca\u3073\u6982\u5ff5\u5b9f\u8a3c\u3092\u884c\u3044\u3001\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u3092\u4f5c\u6210\u3057\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u5185\u5916\u306e\u7406\u89e3\u3092\u6df1\u3081\u308b\u3053\u3068\u3067\u8aac\u660e\u8cac\u4efb\u3092\u679c\u305f\u3057\u306a\u304c\u3089\u6210\u529f\u78ba\u7387\u3092\u9ad8\u3081\u308b\u3002 \u6027\u80fd\uff08\u7cbe\u5ea6\u3001UX\u306b\u5f71\u97ff\u3059\u308b\u51e6\u7406\u901f\u5ea6\u7b49\uff09\u3001\u30b3\u30b9\u30c8\u3001\u30ea\u30fc\u30c9\u30bf\u30a4\u30e0\u306a\u3069\u306e\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u3092\u610f\u8b58\u3057\u306a\u304c\u3089\u6a5f\u68b0\u5b66\u7fd2\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3092\u542b\u3080\u30b7\u30b9\u30c6\u30e0\u306e\u6280\u8853\u9078\u5b9a\u3001\u8a2d\u8a08\u3001\u5b9f\u88c5\u3092\u884c\u3046\u3002 \u5c02\u7528\u306e\u60c5\u5831\u5171\u6709\u30c4\u30fc\u30eb\u3092\u4f7f\u3063\u3066\u3001\u30ce\u30a6\u30cf\u30a6\u3084\u8b70\u4e8b\u9332\u306a\u3069\u306e\u60c5\u5831\u5171\u6709\u3092\u884c\u3046\u3002 Partner closely with product teams from the early planning stage, supporting Product Managers in defining project objectives, success metrics (KPIs) and expected outcomes; Conduct hands-on analysis and proof of concept (PoC), build prototypes, and drive alignment across stakeholders by improving understanding of the solution and its impact; Design and implement ML-driven systems while balancing trade-offs across model performance (e.g., accuracy, latency impacting UX), cost and development lead time; Actively document and share knowledge, insights, and decisions using internal collaboration tools (e.g., documentation, meeting notes). \u4ed5\u4e8b\u304b\u3089\u5f97\u3089\u308c\u308b\u3082\u306e\uff1a \u56fd\u5185\u6700\u5927\u7d1a\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u30c7\u30fc\u30c6\u30a3\u30f3\u30b0\u30b5\u30fc\u30d3\u30b9\u306e\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u3092\u542b\u3080\u6a5f\u80fd\u958b\u767a\u306b\u4f01\u753b\u6bb5\u968e\u304b\u3089\u30d7\u30ed\u30c0\u30af\u30c8\u30c1\u30fc\u30e0\u3068\u5171\u306b\u95a2\u308f\u308a\u3001\u6700\u9069\u89e3\u3092\u5b9f\u73fe\u3059\u308b\u70ba\u306e\u904e\u7a0b\u3067\u5f97\u3089\u308c\u308b\u77e5\u8b58\u3068\u30c6\u30af\u30cb\u30ab\u30eb\u30b9\u30ad\u30eb \u30a8\u30a6\u30ec\u30ab\u3067\u306f\u6280\u8853\u9078\u629e\u306f\u5168\u3066\u958b\u767a\u8005\u304c\u8cac\u4efb\u3092\u6301\u3063\u3066\u884c\u3063\u3066\u304a\u308a\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u6700\u65b0\u6280\u8853\u3082\u7a4d\u6975\u7684\u306b\u6d3b\u7528\u3067\u304d\u307e\u3059 \u30b5\u30fc\u30d3\u30b9\u30de\u30a4\u30f3\u30c9\u306e\u9ad8\u3044\u30e1\u30f3\u30d0\u30fc\u304c\u591a\u304f\u3001\u3042\u308b\u3079\u304d\u59ff\u3092\u8b70\u8ad6\u3057\u306a\u304c\u3089\u3001\u8abf\u6574\u529b\u3001\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30b9\u30ad\u30eb\u3001\u89e3\u6c7a\u529b\u3092\u78e8\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059 \u5b9a\u6027\u30fb\u5b9a\u91cf\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u6301\u3063\u305f\u9ad8\u5ea6\u3067\u672c\u8cea\u7684\u306a\u30c7\u30fc\u30bf\u30fb\u30c9\u30ea\u30d6\u30f3\u7d44\u7e54\u306e\u63a8\u9032\u30fb\u5b9f\u52d9\u7d4c\u9a13 \u5916\u8cc7\u7cfbIT\u4f01\u696d\u306a\u3089\u3067\u306f\u306e\u8ad6\u7406\u6027\u3001\u5727\u5012\u7684\u30b9\u30d4\u30fc\u30c9\u306e\u3042\u308b\u958b\u767a\u7d4c\u9a13 \u82f1\u8a9e\u529b\uff08\u89aa\u4f1a\u793e\u3084\u5916\u56fd\u7c4d\u30e1\u30f3\u30d0\u30fc\u3068\u306e\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u82f1\u4f1a\u8a71\u5b66\u7fd2\u3092\u30b5\u30dd\u30fc\u30c8\u3002\u307e\u305f\u3001\u793e\u5185\u30e1\u30f3\u30d0\u30fc\u306e\u56fd\u7c4d\u306f\u3001\u53f0\u6e7e\u30fb\u97d3\u56fd\u30fb\u30d5\u30a3\u30ea\u30d4\u30f3\u30fb\u30aa\u30fc\u30b9\u30c8\u30e9\u30ea\u30a2\u30fb\u30a4\u30ae\u30ea\u30b9\u30fb\u30a2\u30e1\u30ea\u30ab\u30fb\u30d5\u30e9\u30f3\u30b9\u3068\u591a\u7a2e\u591a\u69d8\u3067\u3059\uff09 \u958b\u767a\u3092\u901a\u3057\u305f\u793e\u4f1a\u8ca2\u732e\uff08\u6669\u5a5a\u5316\u554f\u984c\u3001\u5c11\u5b50\u5316\u554f\u984c\u3001\u4eba\u751f\u306b\u304a\u3051\u308b\u81ea\u7531\u306a\u9078\u629eetc.\uff09 Work on machine learning-driven feature development using data from one of the largest online dating services in Japan, collaborating with product teams from the planning stage, and gaining knowledge and technical skills through delivering optimal solutions; At Eureka, engineers own technology decisions and are empowered to adopt the latest technologies as needed; Work with highly service-oriented team members and develop coordination, communication, and problem-solving skills through discussions on best practices; Gain hands-on experience in driving a truly data-driven organization that balances both qualitative and quantitative perspectives; Experience the logical thinking and high-speed execution typical of a global IT company; Improve English skills through communication with global stakeholders and international team members across Match Group(English learning support is provided); Contribute to social impact through product development (e.g., addressing declining birth rates, delayed marriage, and enabling freedom of choice in life). \u4f7f\u3063\u3066\u3044\u308b\u30c4\u30fc\u30eb/\u74b0\u5883\uff1a \u958b\u767a\u8a00\u8a9e\uff1aPython, Go \u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\uff1aBigQuery, Amazon Aurora MySQL, DynamoDB, Redis, Elasticsearch \u30c7\u30fc\u30bf\u51e6\u7406\uff1aGoogle Cloud Vertex AI, Google Cloud Dataflow, Cloud Pub/Sub, Fluentd, Fluent Bit, dbt, Dagster etc BI\u30c4\u30fc\u30eb\uff1aTableau, Superset \u69cb\u6210\u7ba1\u7406\uff1aTerraform \u958b\u767a\u3001\u305d\u306e\u4ed6\uff1aGitHub, Slack, Jira, Confluence Google Workspace \u5404\u7a2e\u30c4\u30fc\u30eb\uff1aGoogle Sheets / Google Slides AI\u30c4\u30fc\u30eb\uff1aChatGPT Enterprise / Codex, Claude Code, Cursor, Gemini(Google Workspace),, \u305d\u306e\u4ed6\u81ea\u793e\u958b\u767aAI\u30c4\u30fc\u30eb\u53ca\u3073\u30d7\u30e9\u30b0\u30a4\u30f3 LLM\u904b\u7528 / \u76e3\u8996\uff1aLangfuse(self-hosted) \u30a4\u30f3\u30d5\u30e9\uff1aAWS/Google Cloud \u5404\u7a2e\u30b5\u30fc\u30d3\u30b9 Programming Languages: Python, Go Databases: BigQuery, Amazon Aurora MySQL, DynamoDB, Redis, Elasticsearch Data Processing: Google Cloud Vertex AI, Dataflow, Pub/Sub, Fluentd, Fluent Bit, dbt, Dagster, etc. BI Tools: Tableau, Superset Infrastructure as Code: Terraform Development & Collaboration: GitHub, Slack, JIRA, Confluence Google Workspace: Google Sheets, Google Slides AI Tools: ChatGPT Enterprise, Codex, Claude Code, Cursor, Gemini (Google Workspace), as well as internally developed AI tools and plugins LLM Observability / Monitoring: Langfuse (self-hosted) Infrastructure: AWS and Google Cloud services \u5fc5\u9808\u6761\u4ef6\uff1a \u6b21\u306e\u4e00\u822c\u7684\u306a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30a8\u30f3\u30b8\u30cb\u30a2\u3068\u3057\u3066\u306e\u77e5\u8b58\u30fb\u30b9\u30ad\u30eb\u30fb\u7d4c\u9a13\u3092\u6301\u3063\u3066\u3044\u308b\u3053\u3068\uff1a WebApp\u958b\u767a\u306e\u77e5\u8b58\u3001\u30b9\u30ad\u30eb \u4e00\u822c\u7684\u306aWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u5927\u307e\u304b\u306a\u69cb\u6210\u3092\u7406\u89e3\u3057\u3066\u3044\u308b\u3053\u3068 \u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u958b\u767a\u7d4c\u9a13\uff08\u8a2d\u8a08\u53ca\u3073\u5b9f\u88c5\uff09\uff08Sr. Backend engineer \u30ec\u30d9\u30eb\u3067\u3042\u308b\u3068\u5c1a\u53ef\uff09 \u30eb\u30bf\u30a4\u30e0\u306e\u696d\u52d9\u7d4c\u9a13\u6700\u4f4e2\u5e74\u4ee5\u4e0a General knowledge, skills, and experience as a software engineer, including: Web application development Understanding of overall web application architecture; Backend development experience (design and implementation); experience at a Senior Backend Engineer level is a plus; Minimum of 2 years of full-time professional experience. \u691c\u7d22\u3001\u63a8\u85a6\u306e\u3044\u305a\u308c\u304b\u3092\u30b3\u30a2\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3068\u3059\u308b\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u643a\u308f\u308a\u3001\u7d99\u7d9a\u7684\u306b\u6539\u5584\u3057\u305f\u7d4c\u9a13\uff1a \u4f8b: EC\u306b\u304a\u3051\u308b\u5546\u54c1\u63a8\u85a6\u3001\u30b8\u30e7\u30d6\u30de\u30c3\u30c1\u30f3\u30b0\u306b\u304a\u3051\u308b\u6c42\u4eba\u7968 / \u5019\u88dc\u8005\u63a8\u85a6\u3001embeddings / vector search \u3092\u7528\u3044\u305f\u30e6\u30fc\u30b6\u30fc\u30d9\u30af\u30c8\u30eb\u8fd1\u508d\u691c\u7d22\u306b\u3088\u308b\u63a8\u85a6\u6539\u5584\u3001candidate generation / retrieval \u306e\u6539\u5584\u3001Elasticsearch / Solr \u3092\u7528\u3044\u305f\u691c\u7d22\u30b7\u30b9\u30c6\u30e0\u306e\u7d50\u679c\u6539\u5584\u3092\u306f\u3058\u3081\u3068\u3057\u305f\u904b\u7528 \u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u81ea\u4f53\u306f\u30de\u30cd\u30fc\u30b8\u30c9\u30b5\u30fc\u30d3\u30b9\u3067\u3082\u53ef \u7d4c\u9a13\u30c9\u30e1\u30a4\u30f3\u304ctwo-sided market\u3067\u3042\u308b\u3068\u5c1a\u53ef Experience working on and continuously improving software systems where search or recommendation is a core component: E.g.,product recommendation in e-commerce, job/candidate matching, improving recommendations using nearest-neighbor retrieval over user embeddings/vector, optimizing candidate generation/retrieval, and improving search results using Elasticsearch/Solr; Managed services are acceptable for these components; Experience in a two-sided marketplace domain is a plus. \u30d3\u30b8\u30cd\u30b9/\u30a8\u30f3\u30b8\u30cb\u30a2\u3068\u306e\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u529b\uff1a \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u3092\u30d7\u30ed\u30c0\u30af\u30c8\u30de\u30cd\u30fc\u30b8\u30e3\u3084\u5206\u6790\u8005\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u7d4c\u55b6\u5c64\u3068\u5171\u306b\u8b70\u8ad6\u3057\u5b9a\u7fa9\u3067\u304d\u3001\u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u3068\u3057\u3066\u8981\u4ef6\u306b\u843d\u3068\u3057\u8fbc\u3081\u308b \u8907\u96d1\u306a\u8981\u4ef6\u3092\u6574\u7406\u3001\u9069\u5207\u306a\u30b9\u30c6\u30fc\u30af\u30db\u30eb\u30c0\u30fc\u3092\u5dfb\u304d\u8fbc\u3093\u3067\u5408\u610f\u5f62\u6210\u3067\u304d\u308b Strong communication skills with both business and engineering stakeholders: Ability to define project outcomes in collaboration with Product Managers, analysts, and, when needed, leadership, and translate them into machine learning requirements; Ability to structure complex requirements, engage relevant stakeholders, and drive alignment. \u65e5\u672c\u8a9e\u30d3\u30b8\u30cd\u30b9\u30ec\u30d9\u30eb\u4ee5\u4e0a \u30cd\u30a4\u30c6\u30a3\u30d6\u3067\u306a\u3044\u65b9\u3067\u3042\u308c\u3070\u3001\u65e5\u672c\u8a9e\u304c\u5171\u901a\u8a00\u8a9e\u3067\u3042\u308b\u30c1\u30fc\u30e0\u3067\u306e\u696d\u52d9\u7d4c\u9a13\u304c\u3042\u308b\u3053\u3068\u304c\u671b\u307e\u3057\u3044 \u65e5\u672c\u304c\u30e1\u30a4\u30f3\u306e\u9818\u57df\u3068\u306a\u308b\u30b0\u30ed\u30fc\u30d0\u30eb\u30d7\u30ed\u30c0\u30af\u30c8\u3067\u3042\u308b\u305f\u3081\u3001\u65e5\u672c\u306e\u8a00\u8a9e\u3084\u6587\u5316\u306b\u5bfe\u3059\u308b\u7406\u89e3\u3092\u6df1\u3081\u308b\u610f\u5411\u3092\u6301\u3064\u3053\u3068\u304c\u671b\u307e\u3057\u3044 Japanese proficiency at business level or above: For non-native Japanese speakers, experience working in a Japanese-speaking environment is preferred; Given that Japan is the primary market, a willingness to deepen understanding of Japanese language and culture is preferred. \u82f1\u8a9e\u30d3\u30b8\u30cd\u30b9\u30ec\u30d9\u30eb\u4ee5\u4e0a Match Group\u306e\u82f1\u8a9e\u8a71\u8005\u30b9\u30c6\u30fc\u30af\u30db\u30eb\u30c0\u30fc\u3068\u306e\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u3084\u82f1\u8a9e\u306b\u3088\u308b\u6b63\u5f0f\u306a\u8cc7\u6599\u4f5c\u6210\u304c\u53ef\u80fd\u306a\u30ec\u30d9\u30eb\u3001\u3082\u3057\u304f\u306f\u305d\u3053\u307e\u3067\u30ad\u30e3\u30c3\u30c1\u30a2\u30c3\u30d7\u53ef\u80fd\u3067\u3042\u308b\u3053\u3068 English proficiency at business level or above: Ability to communicate with English-speaking stakeholders within Match Group and create formal documentation in English, or the ability to ramp up to that level. \u6b53\u8fce\u6761\u4ef6\uff1a \u7279\u306b1. 2. \u306e\u8981\u4ef6\u3092\u91cd\u8996\u3057\u307e\u3059\u3002 1\\. \u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u30ea\u30fc\u30c9\u3057\u305f\u7d4c\u9a13\uff1a \u8907\u6570\u306e\u8077\u7a2e\u304c\u95a2\u4e0e\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u304a\u3051\u308b\u30c6\u30af\u30cb\u30ab\u30eb\u30ea\u30fc\u30c9 \u66d6\u6627\u3067\u5236\u7d04\u304c\u81ea\u660e\u3067\u306a\u3044\u72b6\u6cc1\u306b\u304a\u3044\u3066\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u3092\u660e\u78ba\u306b\u3057\u305f\u6280\u8853\u7684\u610f\u5fd7\u6c7a\u5b9a\uff08\u6027\u80fd\u3001\u30b3\u30b9\u30c8\u3001UX\u3092\u8003\u616e\u3057\u305f\u8981\u7d20\u6280\u8853\u306e\u9078\u5b9a\u30fb\u8a2d\u8a08\uff09 \u30df\u30c9\u30eb\u30de\u30cd\u30b8\u30e1\u30f3\u30c8\u3068\u5171\u306b\u3001\u73fe\u5834\u3068\u7d4c\u55b6\u5c64\u306e\u8a8d\u8b58\u3092\u63c3\u3048\u306a\u304c\u3089\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u63a8\u9032 2\\. \u7d71\u8a08\u5b66\u3001\u6a5f\u68b0\u5b66\u7fd2\u3001A/B\u30c6\u30b9\u30c8\u306e\u77e5\u8b58\u3001\u30b9\u30ad\u30eb\uff1a \u5404\u7a2e\u7d71\u8a08\u691c\u5b9a\u306b\u95a2\u3059\u308b\u7406\u89e3\u304c\u3042\u308a\u3001\u30b1\u30fc\u30b9\u306b\u5fdc\u3058\u3066\u9069\u5207\u306a\u5229\u7528\u3068\u7d50\u679c\u306e\u89e3\u91c8\u304c\u3067\u304d\u308b \u6a5f\u68b0\u5b66\u7fd2\uff08\u4e3b\u306b\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\uff09\u306e\u8a55\u4fa1\u6307\u6a19\u3092\u7406\u89e3\u3057\u3066\u3044\u308b \u6a5f\u68b0\u5b66\u7fd2\u3001\u691c\u7d22\u3001\u63a8\u85a6\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3001\u753b\u50cf\u51e6\u7406\u7b49\u306e\u9ad8\u5ea6\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u308b\u5e45\u5e83\u3044\u5206\u91ce\u95a2\u3059\u308b\u77e5\u8b58\u3068\u7d4c\u9a13\u3092\u6301\u3061\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u76ee\u7684\u306b\u5bfe\u3057\u3066\u3053\u308c\u3089\u304b\u3089\u6700\u9069\u306a\u30bf\u30b9\u30af\u3078\u306e\u843d\u3068\u3057\u8fbc\u307f\u304c\u3067\u304d\u308b embeddings / vector search \u3092\u7528\u3044\u305f\u8fd1\u508d\u691c\u7d22\u3001candidate generation / retrieval \u3092\u542b\u3080\u63a8\u85a6\u30fb\u691c\u7d22\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u30fb\u6539\u5584\u7d4c\u9a13\u3092\u6301\u3064\u3068\u5c1a\u53ef A/B\u30c6\u30b9\u30c8\u306b\u3064\u3044\u3066\u7db2\u7f85\u7684\u306a\u77e5\u8b58\u3092\u6301\u3061\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8KPI/KGI\u3068\u30c6\u30b9\u30c8\u30bf\u30fc\u30b2\u30c3\u30c8\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u30c9\u30e1\u30a4\u30f3\u3068\u306e\u95a2\u9023\u3092\u7406\u89e3\u3057\u305f\u4e0a\u3067\u8a2d\u8a08\u53ca\u3073\u5b9f\u65bd\u3001\u8a55\u4fa1\u304c\u51fa\u6765\u308b\u3002 NumPy, Pandas, SciPy, Matplotlib, scikit-learn, TensorFlow, PyTorch\u306a\u3069\u6a5f\u68b0\u5b66\u7fd2\u306b\u95a2\u308f\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u672c\u756a\u74b0\u5883\u306b\u304a\u3051\u308b\u5229\u7528\u7d4c\u9a13 3\\. \u30c7\u30fc\u30bf\u51e6\u7406\u306b\u304a\u3051\u308b\u30c6\u30af\u30cb\u30ab\u30eb\u30b9\u30ad\u30eb\uff1a SQL\u8a00\u8a9e\u306e\u77e5\u8b58\u3001\u6280\u80fd Python/Ruby/Java/Scala/Go\u3044\u305a\u308c\u304b\u306e\u696d\u52d9\u3067\u306e\u958b\u767a\u7d4c\u9a13 \u30b9\u30c8\u30ea\u30fc\u30e0/\u30d0\u30c3\u30c1\u306e\u30c7\u30fc\u30bf\u51e6\u7406\u7d4c\u9a13 RDB\u4ee5\u5916\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u5229\u7528\u7d4c\u9a13 4\\. ML\u30b5\u30fc\u30d3\u30b9\u306e\u904b\u7528\u7d4c\u9a13\uff1a Kubeflow / TFX \u306a\u3069ML\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306e\u958b\u767a\u30fb\u904b\u7528 Kubernetes \u306e\u76e3\u8996\u30fb\u904b\u7528 SageMaker, Vertex AI \u306a\u3069\u306e managed ML services \u3092\u5229\u7528\u3057\u305fML\u57fa\u76e4\u306e\u958b\u767a\u30fb\u904b\u7528 Langfuse \u3092\u7528\u3044\u305f LLM \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e observability / tracing / monitoring \u306e\u904b\u7528\u7d4c\u9a13 5\\. \u6a5f\u68b0\u5b66\u7fd2\u30c1\u30fc\u30e0\u3092\u30ea\u30fc\u30c9\u3057\u305f\u7d4c\u9a13\uff1a \u30c1\u30fc\u30e0\u5185\u306e\u62c5\u5f53\u9818\u57df\u306e\u30ed\u30fc\u30c9\u30de\u30c3\u30d7\u306e\u7b56\u5b9a\uff08\u56db\u534a\u671f\u304b\u30891\u5e74\uff09 \u6a5f\u68b0\u5b66\u7fd2\u30c1\u30fc\u30e0\u3068\u4e8b\u696d\u53ca\u3073\u4f01\u696d\u5168\u4f53\u306e\u30ed\u30fc\u30c9\u30de\u30c3\u30d7\u3068\u306e\u6574\u5408\u6027\u3092\u3068\u308b\u70ba\u306e\u7d99\u7d9a\u7684\u306a\u884c\u52d5 6\\. \u30c7\u30fc\u30bf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30b9\u30ad\u30eb\uff1a \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u30aa\u30f3\u30e9\u30a4\u30f3\u63a8\u8ad6\u304c\u884c\u308f\u308c\u308b\u6a5f\u68b0\u5b66\u7fd2\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306e\u8a2d\u8a08\u30fb\u69cb\u7bc9\u30fb\u904b\u7528\u30fb\u76e3\u8996\u7d4c\u9a13 BigQuery / DynamoDB \u7b49\u3092\u7528\u3044\u3066\u3001\u7528\u9014\u306b\u5fdc\u3058\u305f\u7279\u5fb4\u91cf\u7ba1\u7406\u57fa\u76e4\uff08feature store \u76f8\u5f53\uff09\u3092\u8a2d\u8a08\u30fb\u69cb\u7bc9\u30fb\u904b\u7528\u3057\u305f\u7d4c\u9a13 \u9ad8\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u30b5\u30fc\u30d3\u30b9\u306e\u30b9\u30c8\u30ea\u30fc\u30e0\u30c7\u30fc\u30bf\u51e6\u7406\u7d4c\u9a13 \u5927\u898f\u6a21\u30c7\u30fc\u30bf\u306e\u30d0\u30c3\u30c1\u51e6\u7406\u7d4c\u9a13 \u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u8981\u6c42\u6c34\u6e96\u304c\u9ad8\u3044 Application \u306e\u30c7\u30fc\u30bf\u30b9\u30c8\u30a2\u3084\u30c7\u30fc\u30bf\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306e\u8a2d\u8a08\u3001\u6280\u8853\u9078\u5b9a\u306e\u7d4c\u9a13 7\\. \u5927\u898f\u6a21\u30b7\u30b9\u30c6\u30e0\u306e\u904b\u7528\u7d4c\u9a13\u3001\u30c8\u30e9\u30d6\u30eb\u30b7\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b9\u30ad\u30eb\uff1a \u30dc\u30c8\u30eb\u30cd\u30c3\u30af\u3092\u7279\u5b9a\u3057\u3001\u9069\u5207\u306a\u89e3\u6c7a\u7b56\u3092\u63d0\u6848\u3001\u5b9f\u65bd\u3057\u305f\u7d4c\u9a13 \u307e\u305f\u306f\u904b\u7528\u3092\u4e8b\u524d\u306b\u8003\u616e\u3057\u3066\u3001\u9ad8\u53ef\u7528\u6027\u3001\u9ad8\u4fe1\u983c\u6027\u306e\u3042\u308b\u30b7\u30b9\u30c6\u30e0\u3092\u8a2d\u8a08\u3057\u305f\u7d4c\u9a13 SRE\u306e\u30d7\u30e9\u30af\u30c6\u30a3\u30b9\u3092\u6539\u5584\u3057\u306a\u304c\u3089\u904b\u7528\u3059\u308b\u7d4c\u9a13\uff08SLO, \u30a8\u30e9\u30fc\u30d0\u30b8\u30a7\u30c3\u30c8\u7b49\uff09 We place particular emphasis on requirements 1 and 2. 1\\. Experience leading machine learning projects: Technical leadership in ML projects involving multiple functions Ability to make technical decisions under ambiguity, clearly identifying trade-offs (e.g., performance, cost, UX) and selecting/designing appropriate solutions Experience aligning on goals across teams and driving projects in collaboration with mid-level management and leadership 2\\. Knowledge and skills in statistics, machine learning, and A/B testing: Understanding of statistical methods and ability to apply and interpret them appropriately Understanding of ML evaluation metrics (primarily for supervised learning) Broad knowledge and experience across areas such as ML, search, recommendation, NLP, and computer vision, with the ability to translate project goals into appropriate technical approaches Experience designing and improving recommendation/search systems, including embeddings, vector search, and candidate generation/retrieval, is a plus Strong understanding of A/B testing, with the ability to design, execute, and evaluate experiments in alignment with KPIs/KGIs and ML domains Hands-on experience with ML libraries/frameworks in production (e.g., NumPy, Pandas, SciPy, Matplotlib, scikit-learn, TensorFlow, PyTorch) 3\\. Technical skills in data processing: Proficiency in SQL Development experience in at least one of the following: Python, Ruby, Java, Scala, or Go Experience with stream and batch data processing Experience working with non-relational databases 4\\. Experience operating ML services: Experience developing and operating ML pipelines (e.g., Kubeflow, TFX) Experience monitoring and operating Kubernetes Experience building and operating ML platforms using managed services (e.g., SageMaker, Vertex AI) Experience operating LLM applications with observability / tracing / monitoring tools (e.g., Langfuse) 5\\. Experience leading ML teams: Experience defining team-level roadmaps (quarterly to annual) Experience aligning ML initiatives with broader business and organizational roadmaps 6\\. Data engineering skills: Experience designing, building, operating, and monitoring ML pipelines for real-time (online) inference Experience designing and operating feature store-like systems using BigQuery, DynamoDB, etc. Experience with stream processing for high-traffic services Experience with large-scale batch data processing Experience designing data stores and pipelines for applications with high data requirements 7\\. Experience operating large-scale systems and troubleshooting: Experience identifying bottlenecks and proposing/implementing appropriate solutions Or experience designing systems with high availability and reliability, considering operational aspects Experience improving and operating with SRE practices (e.g., SLOs, error budgets) $ - $ a year None Eureka", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/41200857", "isPrivate": false}], "debug": {}, "count": 7, "countFilterByMatchScore": null, "location_user": ["tokyo japan", "remote,Japan"], "location_used": "tokyo japan", "locationInsights": null, "showWizard": 1, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "*", "location": "tokyo japan", "department": [], "skill": [], "seniority": [], "pid": ""}, "userTitles": [], "isThinProfile": false, "veteranProgramDetails": [], "enableTargetedResume": 0, "jobCardConfig": null, "facetDisplaySort": {"skills": "count_desc", "departments": "count_desc", "seniority": "count_desc", "work_location_option": "count_desc", "locations": "count_desc"}, "facets": {"skills": {"Front End": 10, "Law Enforcement": 9, "Communication": 9, "Content Moderation": 9, "Legal Documents": 9, "Bilingual": 9, "Software Proficiency": 9, "Cultural Sensitivity": 9, "Project Management": 9, "Research": 9, "Problem Solving": 9, "Product Management": 8, "Product Development": 8, "Market Analysis": 8, "Team Management": 8, "Strategic Planning": 8, "Marketing": 7, "Budgeting": 7, "Reporting": 7, "Google Ads": 7}, "departments": {"Eureka": 5, "Match Group": 2}, "seniority": {"Entry": 3, "Mid/Senior": 3, "CXO": 1}, "work_location_option": {"onsite": 6, "hybrid": 1}, "locations": {"Remote": 999999, "Tokyo, Japan": 7}}, "isSubQuery": false, "showBusinessUnitInPositionSidebar": false, "hideDepartment": null, "iframeImplementation": null, "pcsTextConfiguration": {}, "facetNoTitlecase": null, "skipCSSFacetCapitalization": false, "enableMapClustering": false, "readmoreInstructionEnabled": false, "candidateLogin": {"postApplyReviewLink": {"enabled": true, "url": "/api/apply/v2/profile/review/initialize_user?domain=gotinder.com", "title": "What's next? Increase your chances of getting hired!", "message": "Knowing more about you helps us review your application faster. Enrich your profile by adding more skills, awards, and other recognition.", "buttonText": "Review my profile", "verifyEmailTitle": "Let's verify your email", "verifyEmailText": "Click the link in the email to continue reviewing your profile. If you do not immediately see the email, check your spam folder."}, "postLoginLink": {"enabled": true, "message": "Candidate Login", "url": "/careerhub/me?action=edit&trackApplicationStatus=false&profile_type=candidate&domain=gotinder.com&customredirect=1&utm_source=Eightfold"}, "trackApplicationLink": {"enabled": true, "message": "Track Application Status", "url": "/careerhub/my/jobs/applications?trackApplicationStatus=true&profile_type=candidate&domain=gotinder.com&customredirect=1&utm_source=Eightfold"}}, "isHomePageLoad": false, "candidateBuildProfile": {}, "chatbot": true, "enabledPersonalizedFeatures": {"recommendationFeedback": false, "tldr": false, "personalizationPreferences": false}, "installed_app_data": [], "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "searchFiltersTranslationWhitelist": [], "customJobDescTranslationSkipList": [], "enableCandidateReferralFlow": false, "showBanner": false, "pcsBannerMessage": null, "locationRadiusConfig": {"showLocationRadius": false, "locationRadiusType": "mi"}, "pcsApplyFormV2Enabled": false, "allowedFileTypes": {}, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": true, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": true, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": true, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"prepopulateCheckboxText": "Save my answers for future applications", "showPrepopulateCheckbox": false}, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], 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"pcsAccessibilityApplyFormEnabled": true, "showLanguageDropdown": false, "languages": [{"value": "en", "title": "English"}, {"value": "it", "title": "Italiano"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "nb", "title": "Norsk"}, {"value": "de", "title": "Deutsch"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "uk", "title": "Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430"}, {"value": "hr", "title": "Hrvatski"}, {"value": "el", "title": "\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "ht", "title": "Haitian"}, {"value": "he", "title": "\u05e2\u05d1\u05e8\u05d9\u05ea"}, {"value": "pt-BR", "title": "Brazilian Portugu\u00eas"}, {"value": "da", "title": "Dansk"}, {"value": "fi", "title": "Suomi"}, {"value": "sv", "title": "Svenska"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}, {"value": "pt-PT", "title": "portugu\u00eas (Portugal)"}, {"value": "vi", "title": "Ti\u1ebfng Vi\u1ec7t"}, {"value": "ro", "title": "rom\u00e2n\u0103"}, {"value": "bg", "title": "\u0431\u044a\u043b\u0433\u0430\u0440\u0441\u043a\u0438"}, {"value": "ar", "title": "\u0627\u0644\u0639\u0631\u0628\u064a\u0629"}, {"value": "es-419", "title": "Espa\u00f1ol (Latinoam\u00e9rica)"}, {"value": "sk", "title": "Sloven\u010dina"}, {"value": "id", "title": "Bahasa Indonesia"}, {"value": "sr", "title": "\u0441\u0440\u043f\u0441\u043a\u0438"}, {"value": "mk", "title": "\u043c\u0430\u043a\u0435\u0434\u043e\u043d\u0441\u043a\u0438"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}