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The Senior Analyst will provide high quality financial analysis and reporting to enable the company and stakeholders to achieve their business objectives. Primary functions will include budgeting associated with the annual strategic plan cycle, monthly P&L reforecasting and ad-hoc analyses in support of various businesses within Match. 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, as well as a number of other brands, each designed to increase our users' likelihood of finding a meaningful connection. 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 in our New York City office 2 days/week. How you'll make an impact: Maintain and update monthly forecast and budget models Track and analyze subscriber information Prepare monthly, quarterly, and annual presentations for senior management which include maintaining metrics information and graphs Work with senior leaders, finance management and peers on strategic and ad hoc projects as they arise, including cross-functional marketing, account management and revenue operation teams. We could be a match if: You have a Bachelor's Degree in Finance or Accounting You have 3+ years of experience in corporate finance, planning and analysis in a consumer based environment You are analytical with a strong attention to detail You have strong written and verbal communication skills You thrive in a fast-paced, ever changing, entrepreneurial environment You are able to balance multiple projects and meet necessary deadlines with limited supervision You are driven to meet and exceed goals regarding quality and delivery of analysis and projects You have strong Excel and PowerPoint skills You have OneStream knowledge (preferred) You have subscription business knowledge/experience (preferred) $ 92500- $115000 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 New York, NY. 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. LI- LH1 Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. 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 contact employeebenefits@matchgroup.com.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/20275461", "isPrivate": false}, {"id": 20684210, "name": "Full-Stack Engineer III", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1715887069, "t_create": 1707858103, "ats_job_id": "59cae256-d609-4b6a-9f2a-639a938fed15", "display_job_id": "R0003735", "type": "ATS", "id_locale": "R0003735-en", "job_description": "Collaborate with a cross-disciplinary team to build features. Build tooling and user interfaces for our web application to support Moderation, Appeals and Support team members in managing users on our platform. Design and build backend/frontend features with an emphasis on quality and scalability. Own projects end-to-end, and effectively communicate with tech leads, managers and other stakeholders. Work in a cloud-native tech stack: Kubernetes, AWS, Go gRPC/API services, Postgres, Redis, Kafka, React. Participate and engage in team ceremonies/processes and our on-call rotation (weeklong alternating with other engineers). Proficient in coding in one or more backend languages with a preference on Go 3+ years experience with architecting RESTful APIs while following best practices 2+ years experience with building and maintaining React web applications (Javascript/Typescript, CSS) Worked with at least one message or event-based technology (Kafka, Kinesis, RabbitMQ, SQS, etc.) Experience working in distributed production systems Familiar with Cloud infrastructure and microservice architecture (such as AWS, GCP, Azure) Familiar with CI/CD pipelines and testing frameworks (Mocha/Jest) Knowledgeable of the Software Development Life Cycle Strong analytical and problem-solving skills. Clear written & verbal communicator Adept at explaining complex technical concepts to non-technical audiences", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/20684210", "isPrivate": false}, {"id": 23551272, "name": "Senior Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1718726254, "t_create": 1718726191, "ats_job_id": "dad03272-1785-4283-ae68-f1cbae4d12d4", "display_job_id": "R0003487", "type": "ATS", "id_locale": "R0003487-en", "job_description": "Deliver improvements to our infrastructure, observability, security, and internal tooling across varying problem spaces. Design, build, and maintain global, highly available, low-latency infrastructure to service the needs of our customers. Partner internally with teams to improve performance, scalability, reliability and observability of our infrastructure. Empathetically help teams improve their systems' performance, scalability, reliability, and observability. Has a keen focus on performance and reliability of infrastructure and takes ownership of solving problems as they arise. Leave a trail of high-quality technical documentation of initiatives, postmortems, and endeavor to uphold good knowledge-sharing practices. Impart your domain expertise theoretically and practically. Join the Platform Engineering on-call rotation. Prior experience in implementing, configuring and optimizing Kubernetes and Terraform at scale. Experience in building and troubleshooting large-scale distributed production infrastructure in AWS or GCP. Demonstrated proficiency in working on CI/CD pipelines. Experience building global multi-region infrastructure, services, databases and storage. Experience in on call rotation and responding to incidents. Has expertise in many or all of the following: Terraform, Kubernetes, AWS, Grafana, Elasticsearch, Prometheus, Argo CD, Kafka, Golang/Python or another systems language.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/23551272", "isPrivate": false}, {"id": 23719421, "name": "Senior Public Relations Manager", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1721059149, "t_create": 1720037096, "ats_job_id": "439fb9f7-81a0-495f-a6b9-932f124f5a98", "display_job_id": "439fb9f7-81a0-495f-a6b9-932f124f5a98", "type": "ATS", "id_locale": "7386691900636509962-en", "job_description": "Strategy Development: Create and execute external communications strategies for product launches, brand campaigns, and company news. Internal Communications: Drive internal communications initiatives and messaging to keep employees informed and engaged. Stakeholder Collaboration: Build and manage relationships with internal stakeholders and agency partners. Communications & Messaging: Write engaging materials for internal and external communications, including key messaging and blog posts. Media Relations: Prepare and coach spokespeople, pitch stories to tech, business, and consumer outlets, cultivate relationships with key reporters, and handle inbound media requests. Strategic Measurement & Analysis: Evaluate the success of communications initiatives to continuously improve strategies. Proven Experience: 5-8 years in corporate communications or public relations, with a blend of in-house experience at a global tech company and agency experience. Versatile Communicator: Proven agility in managing both external announcements and internal communications, from strategy development to execution. Entrepreneurial Spirit: Demonstrated ability to lead and manage multiple projects simultaneously and create new processes with support from the Comms team and Operations partners. Collaborative Stakeholder: Experience working cross-functionally as a communications advisor, interacting comfortably with senior leaders and executives. Skilled Writer: Exceptional written communication and storytelling skills. Media Relations Expert: Strong track record of securing coverage and building journalist relationships across news, business, tech, and consumer sectors; experience with social-first coverage is a plus. Creative Thinker: Demonstrated ability to develop proactive and creative PR campaigns.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/23719421", "isPrivate": false}, {"id": 19894338, "name": "Data Engineer III", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1720722419, "t_create": 1704850561, "ats_job_id": "354cd021-8ea8-45e9-9dea-d1f6a5a0728f", "display_job_id": "R0003459", "type": "ATS", "id_locale": "R0003459-en", "job_description": "Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more. Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives. Work with stakeholders and translate their needs and expectations into action items and deliverables. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Contribute meaningful insights and feedback to our team processes. Participate in our on-call rotation. Perform other job-related duties as assigned. Proficient in Python, SQL, DevOps, and databases. 3+ years of professional/industry experience. Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes. Strong communication skills (written/verbal).Experience modeling data sets for different types of sources and business processes. Passionate about designing elegant data infrastructure, tooling, and pipelines. Familiar with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery), and CI/CD technologies (CircleCI).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/19894338", "isPrivate": false}, {"id": 19938972, "name": "Senior ML Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1721080934, "t_create": 1704997239, "ats_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "display_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "type": "ATS", "id_locale": "6203985222364177919-en", "job_description": "Own or contribute to technical designs for the feature platform, training platform, serving platform, and underlying operational infrastructure that provides incremental delivery and impact. Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps. Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering incrementally. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers and Data Scientists on current and up and coming tools and technologies for ML operations through presentations and documentation. Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers. Perform other job-related duties as assigned. 3+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 1+ year of experience for Senior designing and developing online and production grade ML systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture: Ability to design scalable and efficient ML systems. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge: A basic understanding of ML algorithms, techniques, and best practices. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/19938972", "isPrivate": false}, {"id": 20079076, "name": "Senior ML Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1716917191, "t_create": 1705101155, "ats_job_id": "3fc3a7d4-4a84-4eb9-80d6-ab3c549c6171", "display_job_id": "3fc3a7d4-4a84-4eb9-80d6-ab3c549c6171", "type": "ATS", "id_locale": "203998211731315363-en", "job_description": "Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines. Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models) Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. Perform other job-related duties as assigned. Strong programming skills: Proficiency in languages like Python, Java or C++ System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus. ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus. Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. 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