hyperconnect jobs in Match Group

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Build ML Pipelines: Design and develop ML serving pipelines (real-time and batch) to deliver model outputs with low latency and high reliability. Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Match, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo. 2+ years of experience in software engineering, with a focus on Backend, ML Engineering, or Data Engineering. Strong understanding of CS Fundamentals (data structures, algorithms, operating systems) and distributed system design. Proficiency in at least one modern programming language (e.g., Python, Go, Java, Kotlin, C#) and a \"polyglot mindset\" to adapt to new stacks quickly. A strong interest in how ML models are built and a passion for solving the engineering challenges of deploying them in the real world. Proficiency in leveraging AI-powered tools (e.g., Claude Code, Codex, Cursor) to accelerate productivity. Professional working proficiency in English. (Able to conduct business meetings and participate in complex discussions without requiring assistance.) 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at MG AI Frame the Problem: Figure out which problems are worth solving and why, and articulate them in clear, precise language that a diverse team can rally around. Shape the Roadmap: Decide what matters most, sequence the work, make the tradeoffs, and write PRDs, keeping partners aligned as priorities shift. Read the unspoken dynamics, build alignment across brands, functions, cultures, and time zones, and keep everyone moving in the same direction. Hands-on Execution: Stay deeply involved in the details. Use experiments, behavioral data, and research to guide your calls when signals are imperfect, unblock engineering, and make the small decisions that keep a project moving. Exceptional Communication & Stakeholder Management (most important): You excel at managing stakeholders in complex, high-ambiguity situations. You read between the lines, sense interpersonal and organizational dynamics, and build alignment across teams with competing priorities. This is the single most important quality for this role. 4-6 years of product management experience in the Tech domain, ideally on complex systems or data or ML-driven products. Fast Learning Curve & Strong Will to Learn: You do not need to be ML-savvy today, but you must ramp quickly and become technically fluent enough to shape direction on model behavior and tradeoffs without needing to be deeply technical. Fluent in English (Able to conduct business meetings and participate in complex discussions without requiring assistance.) Fluent in Korean (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.) Essential for cross-functional collaboration within the Seoul office. Strong Ownership & Bias for Action: A track record of driving problems to resolution without waiting for permission. You are comfortable operating with ambiguity and making principled calls when the signals are imperfect. Analytical Rigor: Comfort with data. You can define metrics, design and read experiments, and let evidence guide your decisions. 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Act as a regional thought partner: Collaborate with the Sr. Cross-functional leadership: Build strong relationships with Product, Engineering, Marketing, Design, and Data to integrate localization into roadmaps and launch cycles, influencing decisions with regional insights. Partner with regional Marketing leads and the VP of APAC Marketing to support Go-To-Market Asia efforts\u2014ensuring on-time delivery of localized assets, efficient production workflows, and seamless execution of high-impact campaigns across markets. Optimize localization operations: Assess and refine workflows, tools, and automation (TMS, CAT, QA automation, connectors) to enhance efficiency, transparency, and quality. Support internationalization efforts: Partner with engineering to identify and address i18n issues, ensuring scalability and long-term product readiness across languages. Program governance: Establish and track KPIs to measure localization performance, cost efficiency, and quality outcomes. Vendor and resource management: Oversee localization vendors and freelance linguists, driving accountability, innovation, and high-quality output. Mentorship and enablement: Collaborate closely with Language Managers and other Program Managers to ensure alignment, mentorship, and consistent process execution across regions. Cultural intelligence: Stay ahead of cultural trends, linguistic shifts, and user behaviors across APAC markets to guide creative and product decisions. 5+ years of experience in localization program management, international operations, or a related function within a tech, product, or global brand environment. Proven success managing complex, multi-market localization programs across APAC. Deep understanding of localization technology ecosystems (TMS, CAT, QA automation) and internationalization fundamentals. Strong program management skills \u2014 from scoping and prioritization to stakeholder communication and risk mitigation. Experience influencing product and marketing decisions through data, insights, and user empathy. Excellent cross-functional communication skills and a collaborative mindset; comfortable working across technical and creative teams. Self-starter with strong ownership, adaptability, and attention to detail. 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