Match Group jobs in new york new york

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Drive advancements in our Data Engineering stack by implementing containerization, refining data modeling techniques, and evolving ETL pipeline development to support emerging business needs and scalability requirements. Leverage your data modeling expertise to design, build, and maintain our analytics data warehouse that delivers reliable, high-quality datasets for reporting, analytics, and machine learning purposes, supporting both short-term insights and long-term strategic initiatives. Advocate for Data Engineering best practices within the team, championing their adoption and supporting the continuous improvement of the team's capabilities. Work with stakeholders across the organization to understand their data needs and translate these needs into actionable data solutions. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. 5+ years of professional/industry experience in data engineering, delivering data products from conception to delivery and supporting their underlying infrastructure. Strong technical background in building and optimizing data pipelines, with proficiency in Python, SQL, and data modeling for different types of data sources and business processes. Technical expertise in the following: Python, Go, Kubernetes, Docker, Terraform, CircleCI, GitHub Actions, Kafka, PubSub, Dataflow, Redshift, BigQuery, Databricks, dbt, Looker Experience with cloud environments such as GCP, AWS, or Azure Strong communication skills (written and verbal), with an ability to work collaboratively with cross-functional teams, including backend engineering, data science, and product teams. Effective analytical, troubleshooting, and problem-solving skills, ensuring data systems operate efficiently and meet business needs. Mentorship experience, with a focus on guiding junior data engineers and contributing to team growth through knowledge-sharing and code reviews. A degree in computer science, engineering, or a related field.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25720841", "isPrivate": false}, {"id": 27111668, "name": "AI Product Manager", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1741237297, "t_create": 1738265446, "ats_job_id": "fc60b4fe-1a1e-4f2e-91d1-385130860d25", "display_job_id": "fc60b4fe-1a1e-4f2e-91d1-385130860d25", "type": "ATS", "id_locale": "5564675064078327871-en", "job_description": "Actively build and experiment with the latest AI tools to unlock new product opportunities and stay ahead of industry trends, emerging technologies, and market dynamics to inform product innovation. Partner with the CEO, and facilitate collaboration among engineering, design, and research teams to translate visionary ideas into actionable plans and high-impact prototypes. Lead the full product lifecycle from strategy and concept development to testing, iteration, and refinement. Experience: 3+ years of product management and or AI product development experience - ideally in early-stage development of AI-powered or ML-driven products. Technical Acumen: Deep understanding of AI and machine learning, with hands-on experience applying LLMs, ML models, or AI-driven personalization in product development Execution-Oriented: Track record of operationalizing high-level concepts into structured product roadmaps that deliver results. Collaboration: Proven ability to partner with engineering, research, design, and executives to develop and refine AI-powered products. Strategic Mindset: Skilled at aligning. long-term vision with execution and effectively operationalizing high-level ideas into product roadmaps. Data-Driven: Leverages analytics, experimentation, and user insights to inform and refine AI-driven product experiences. Adaptability: Thrives in ambiguity, navigating technical constraints, evolving AI capabilities, and shifting market needs while maintaining product focus. Communication: Able to articulate AI strategies, technical trade-offs, and insights clearly to technical and non-technical stakeholders. Passion for Innovation: Deep curiosity for AI and emerging technologies, continuously exploring new applications and AI-powered product experiences. Background: Experience in startups, venture studios, incubators, or high-growth environments where AI experimentation and rapid iteration were central to success.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27111668", "isPrivate": false}, {"id": 27213789, "name": "Scaled Operations Program Manager / Quality Operations Program (Trust and Safety)", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Trust & Safety", "t_update": 1741237297, "t_create": 1738966849, "ats_job_id": "07e5796e-4f35-4a6e-939c-015af822c317", "display_job_id": "07e5796e-4f35-4a6e-939c-015af822c317", "type": "ATS", "id_locale": "7312755052301178195-en", "job_description": "Quality Assurance Strategy & Execution: Develop and implement scalable QA frameworks, methodologies, and processes to ensure the accuracy, fairness, and efficiency of moderation decisions. Performance Monitoring & Insights: Establish key performance indicators (KPIs) and quality metrics to measure agent performance, decision accuracy, and process effectiveness. Process Optimization: Identify gaps in moderation workflows and recommend continuous improvement initiatives through automation, training enhancements, and best practice adoption. Training & Calibration: Partner with policy, training, and operations teams to create robust calibration processes, ensuring alignment between human moderators, AI models, and policy guidelines. Incident Management & Root Cause Analysis: Investigate quality-related issues, conduct root cause analysis, and implement corrective actions to mitigate risks and prevent recurrence. Data-Driven Decision Making: Analyze QA data and generate actionable insights to improve moderation outcomes, agent performance, and overall operational efficiency. Cross-functional Collaboration: Work closely with internal teams (Policy, Legal, Product, Engineering, and Operations) to align QA initiatives with business goals and regulatory requirements. Vendor & Partner Management: Oversee external QA vendors, ensuring adherence to quality standards and driving continuous process enhancements. Experience: 3+ years in quality assurance, content moderation, trust & safety operations, or a related field, preferably within a scaled operations environment. Industry Knowledge: Deep understanding of Trust & Safety, content moderation, and risk management processes, including regulatory compliance requirements. Analytical & Problem-Solving Skills: Strong data analysis capabilities, with experience leveraging QA tools, dashboards, and statistical insights to drive decision-making. Process Improvement Expertise: Proven ability to design, implement, and optimize QA frameworks and moderation workflows in high-volume operational settings. Collaboration & Leadership: Demonstrated ability to work cross-functionally, influence stakeholders, and drive alignment across global teams. Technical Skills: Familiarity with AI-driven moderation tools, quality monitoring platforms, and workflow automation solutions. Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex concepts to both technical and non-technical audiences. Preferred Qualifications: Experience with large-scale vendor management, regulatory compliance in content moderation, and trust & safety policy implementation", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27213789", "isPrivate": false}, {"id": 27272087, "name": "Senior iOS Engineer, Monetization", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1741237297, "t_create": 1739474093, "ats_job_id": "9fc57e76-133a-44e2-9cd1-561b49233b00", "display_job_id": "9fc57e76-133a-44e2-9cd1-561b49233b00", "type": "ATS", "id_locale": "8030531830804995629-en", "job_description": "Team Leadership & Best Practices: Champion best practices and team principles that enhance collaboration and elevate the success of the iOS team. Feature Development: Design, develop, and refine features that enhance the functionality and user experience of our iOS application. Cross-Functional Collaboration: Partner with product managers, designers, and engineers to deliver seamless user experiences. Apple Ecosystem Expertise: Stay current with the latest Apple platform updates, leveraging new capabilities to drive innovation within the app. Reliability & Issue Resolution: Monitor, diagnose, and address production crashes and customer-reported issues to ensure a smooth user experience. Architecture & Scalability: Maintain and evolve a scalable, extensible, and efficient application architecture to support future growth. Proficiency in Swift & UIKit: In-depth knowledge of Swift, UIKit, and iOS app development App Architecture: Familiarity with client application and systems architecture patterns like VIPER, MVVM, and MVP. Feature Development: Experience building and maintaining apps with comprehensive feature sets and rich user interfaces. Production Support: Prior experience operating and troubleshooting production apps. Problem-Solving & Organization: A structured thinker with strong attention to detail and the ability to see the big picture. SwiftUI & Concurrency: Experience with SwiftUI and Swift Concurrency is a plus. CI/CD & Deployment: Familiarity with Github Actions, CircleCI, Fastlane, and TestFlight is a plus. In-App Purchases: Experience with in-app purchases is a plus. 4+ years of professional experience in iOS development", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27272087", "isPrivate": false}, {"id": 27307528, "name": "Android Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1741237297, "t_create": 1739912411, "ats_job_id": "40b9977f-aa30-4195-8b21-db5fa8e02365", "display_job_id": "R0004227", "type": "ATS", "id_locale": "R0004227-en", "job_description": "Cross-Disciplinary Collaboration: Work closely with a diverse team of developers, designers, and product managers to build features that prioritize high quality and user engagement. Kotlin Proficiency: Develop and continuously enhance your understanding of Kotlin fundamentals, applying them to create efficient and effective solutions. Android Expertise: Gain a thorough understanding of Android development principles and design patterns, applying them to build intuitive and user-friendly applications. Issue Resolution: Triage, debug, and effectively resolve software issues, ensuring the stability and performance of our application. Codebase Stewardship: Actively contribute to the long-term health and evolution of the codebase, implementing best practices and innovative solutions. Code Reviews: Regularly perform code reviews, providing constructive feedback to peers to foster a culture of excellence and continuous improvement. Active Team Participation: Engage actively in team ceremonies such as stand-ups, planning sessions, and retrospectives to ensure alignment and promote agile methodologies. Effective Communication: Maintain clear and positive communication with team members and other departments, supporting an empowering and inclusive team environment. Professional Android Development Experience: You have 3-5 FTE years of experience in Android development, demonstrating the ability to design and implement mobile applications effectively. Google Play Publication: You have experience publishing at least one application on the Google Play Store, showcasing your understanding of the deployment process and maintaining a production application. Proficiency in Kotlin and Android SDKs: You are proficient in Kotlin, which is strongly preferred, and have a good understanding of Android SDKs and frameworks. Experience with Java in the context of Android development is also beneficial. Solid Software Development Fundamentals: You possess a good foundation in software development principles and are capable of creating efficient and maintainable code. Strong Communication Skills: You are able to communicate clearly and effectively, facilitating productive collaborations within technical and non-technical teams. Ownership and Quality Focus: You take pride in your work and are committed to creating high-quality user experiences, demonstrating attention to detail and a user-centric approach to application development. Jetpack Compose & Coroutines: Experience with Jetpack Compose and coroutines is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27307528", "isPrivate": false}, {"id": 27320603, "name": "Director of Data Engineering", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1741288107, "t_create": 1739999583, "ats_job_id": "15237b37-218a-434a-8c1a-121a13292182", "display_job_id": "15237b37-218a-434a-8c1a-121a13292182", "type": "ATS", "id_locale": "8996247942820886652-en", "job_description": "Play a key role on the Data Leadership Team, shaping Hinge's overall data strategy while setting and executing the Data Engineering strategy. Ensure strategic alignment with Hinge's broader business, product, and technology objectives, driving data-driven innovation across the company. Enable Hinge's AI and machine learning initiatives by building and optimizing high-quality, scalable, and reliable data pipelines. Transform the current existing data engineering practices into unified and streamlined standards that enable optimized, high quality, scalable, and reliable data pipelines. Lead, scale, and mentor a high-performing team of data engineers and data engineering managers, fostering a culture of growth, collaboration, innovation, and operational excellence. Drive technical excellence, upholding high standards for code quality, system design, scalability, and reliability across all data engineering initiatives. Provide hands-on technical leadership, actively participating in architecture reviews, design discussions, and guiding critical technical decisions. Collaborate cross-functionally with BI Engineers, Backend and Client Engineers, ML Engineers, Data Scientists, and Product Managers to develop and implement scalable, data-driven solutions that power analytics, experimentation, and machine learning. Ensure seamless data integration across Hinge's products, features, and systems, enabling a unified, high-quality data ecosystem. Define and implement best practices that enhance team efficiency, optimize workflows, and drive continuous improvement in data engineering operations. Stay ahead of industry trends and emerging technologies, driving innovation in data engineering to support Hinge's evolving business needs. 10+ years of experience in Data Engineering or a related field, with at least 4 years in engineering management leading high-performing teams. Demonstrated expertise in developing and maintaining scalable, reliable, and high-quality data products and pipelines that support business-critical analytics, experimentation, and AI/ML workloads. Experienced at building and managing data pipelines that hydrate online ML features. Deep expertise with modern data engineering technologies, including Kafka, Spark, dbt, Airflow, Databricks, and cloud-based data platforms (AWS, GCP, or Azure). Strong familiarity with modern cloud-native architectures and infrastructure, ensuring efficient, secure, and cost-effective data solutions. Strategic technical leadership with a proven ability to align data engineering strategies with product and business objectives, driving initiatives that exceed business goals. Passion for developing, coaching, and scaling high-performing teams, fostering a culture of growth, inclusivity, and operational excellence. Exceptional communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders, ensuring clarity and alignment across teams. Highly motivated, proactive and collaborative team player with the ability to persuade others and influence outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27320603", "isPrivate": false}, {"id": 27432464, "name": "Product Marketing Manager", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1741237297, "t_create": 1740758422, "ats_job_id": "127c16d5-efec-4bde-93e7-6044932d88cd", "display_job_id": "R0004239", "type": "ATS", "id_locale": "R0004239-en", "job_description": "Drive Strategic Go-to-Market Execution: Develop and execute comprehensive go-to-market plans for new features, ensuring alignment with overall product and company objectives. Craft Cohesive Consumer Narratives: Identify larger stories and connect multiple feature launches for a clear, compelling market position. Lead End-to-End Launch Management: Oversee the end-to-end process of marketing feature launches. Clearly define marketing needs and coordinate various parts of the marketing organization to execute against those needs. Develop Insight-Driven Creative Briefs: Develop and deliver clear and thoughtful strategic and channel briefs that lead to effective and best in class messaging and creative that is consistent across marketing and product surfaces. Be a Key Partner to the Product Team: Share actionable insights and learnings to shape future product development and marketing strategies. Cross-Functional Team Player: Work closely with designers, product managers, and other cross-functional leads during feature scoping and go-to-market planning to ensure we are testing, measuring, and optimizing upon and beyond feature launch for key audiences. Optimize Feature Success Beyond Launch: Partner with design, product, and marketing teams to test, measure, and refine strategies for key audiences beyond the initial launch. Build and Maintain a Messaging Hub for Marketing Partners: Build a knowledge base of messaging and creative assets for teams to leverage across marketing channels. 4+ years of product marketing experience with a proven track record of successfully driving go-to-market launches. Project Management: Experience and success in managing cross-functional teams to bring products and features to market. Demonstrated ability to create detailed and actionable Product Briefs Strong interpersonal skills and communication capabilities with the ability to work across both highly technical and highly creative teams A highly self-motivated action-oriented operator. No task is too small. 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Improve user engagement with notifications by optimizing for relevancy and personalizing for responsiveness. Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters. Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space. 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. Proficiency in languages like Python, Java, or C++ Domain expertise: Deep understanding of machine learning model architectures, DNN experience a big plus. Proven track record of building, debugging, and fine-tuning machine learning models for user facing products. System design & architecture: Experience training and deploying large scale ML models especially DNNs. 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