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Prepare investment memos and strategic presentations for senior leadership and the Board of Directors. Collaborate with internal teams to assess strategic opportunities and build relationships with emerging and established companies Assist in the negotiation of key transaction terms and review of definitive documentation. Work closely with Executive, Finance and Business Unit leadership in inorganic strategy formulation, deal sourcing and origination, financial analysis and valuation, negotiation and execution Deliver successfully on multiple initiatives in a highly dynamic environment, while calm under pressure 3+ years of experience in investment banking (preferably M&A or Tech), private equity, venture capital, or corporate development. Bachelor's degree required (Finance, Economics, Business, or related field). MBA is a plus, but not required. Strong expertise in financial modeling and strategic analysis in transactional environments. Exceptional communication skills \u2014 both verbal and written \u2014 with the ability to distill complex ideas into clear, actionable insights. High attention to detail, intellectual curiosity, and sound judgment. A collaborative and proactive mindset; thrives in lean, fast-paced, and high-performance environments. Expert-level proficiency in Excel and PowerPoint; familiarity with tools like SensorTower, FactSet, PitchBook, or Tableau is a plus. Interest or experience in the consumer internet, technology / media, or mobile app sectors is highly preferred. Willingness to travel and ability to manage shifting priorities as needed.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38376853", "isPrivate": false}, {"id": 38655321, "name": "Global Escalations Specialist, Americas", "location": "Los Angeles, California", "locations": ["Los Angeles, California"], "hot": 0, "department": "Match", "business_unit": "Core Operations", "t_update": 1763787680, "t_create": 1761708765, "ats_job_id": "a234d915-b481-4e4e-a13c-c76371bbbba4", "display_job_id": "R0004580", "type": "ATS", "id_locale": "R0004580-en", "job_description": "Investigate, troubleshoot, and drive our most sensitive complex escalations to resolution, spanning topics across Trust & Safety and member support. Investigate bug and app functionality reports and work with Engineering to help them resolve issues. Contribute to our own organizational projects and consistently drive process improvements to support the team's goals and objectives. Minimum of 1+ years in a similar roleBasic knowledge of Zendesk. Ability to understand and summarize complex cases quickly. Outstanding analytical skills and excellent judgment. Highly flexible and adaptable. Ability to multitask, keep up with large volumes of emails in a fast-paced environment. Outstanding time management and prioritization skills. Quick learner. Great teammate. Tech savvy. Strong attention to details. Passion for helping people. Ability to use critical thinking and logic to isolate and resolve issues. Bachelor degree or higher or equivalent.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38655321", "isPrivate": false}, {"id": 38636194, "name": "Sr. Director, Global Escalations", "location": "Dallas, Texas", "locations": ["Dallas, Texas"], "hot": 0, "department": "Match", "business_unit": "Care", "t_update": 1763787680, "t_create": 1761608098, "ats_job_id": "3544c2d8-0fce-4dff-94ba-ba387624f098", "display_job_id": "3544c2d8-0fce-4dff-94ba-ba387624f098", "type": "ATS", "id_locale": "7718402660990224245-en", "job_description": "Deliver best-in-class customer experience by building a quality driven culture that's obsessed with member experience and satisfaction, with both internal teams and external business partners. Support multiple brands through the development and execution of a shared service strategy, driving consistency, efficiency, and scalability across operations while tailoring solutions to the unique needs of each brand. Work closely with key stakeholders - Quality, Training, Policy, Legal, Comms, and Product, on time sensitive issues and escalations. Minimum of 10 years experience in either Trust & Safety, Customer Support Operations or a community management role at a technology company, 5+ years of management experience. Advanced knowledge of CRM tools (i.e., Zendesk) People leader with an eye toward development. Big ideas thinker and cultivator. Critical thinking skills to understand and summarize complex issues quickly. Ability to multitask, prioritize, and keep up with a large volume of tasks in a fast-paced environment. Experience with user policies, TOS, and escalation procedures in a member facing environment. Extreme attention to detail. Passion for helping people. Bachelor degree or higher.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38636194", "isPrivate": false}, {"id": 38778953, "name": "Ad Operations Analyst", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Match Media", "business_unit": "Marketing", "t_update": 1763787680, "t_create": 1762755468, "ats_job_id": "7843c6e6-5699-406b-b9a8-fbdd3bc7dd3e", "display_job_id": "7843c6e6-5699-406b-b9a8-fbdd3bc7dd3e", "type": "ATS", "id_locale": "7474540297392929332-en", "job_description": "Performing all aspects of traffic management for direct campaigns, including accurate and timely set up, testing, management and optimization of online display ad and video ad campaigns in Google Ad Manager. Perform QA for all campaigns prior to going live Provide guidance to internal stakeholders regarding inventory management and best practices for ad performance Provide technical support for sales and engineering teams to help troubleshoot problem creative Develop optimization strategies on a campaign-by-campaign basis to maximize both delivery and advertiser performance Ensure smooth delivery of campaigns by maintaining and distributing pacing reports Work with product teams to implement and test new ad products/ad experiences Provide excellent customer service to internal stakeholders and external partners Establish, implement and maintain digital ad operations best practices Ability to meet deadlines and handle multiple tasks Experience with troubleshooting tools such as Charles, Proxyman etc", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38778953", "isPrivate": false}, {"id": 38762858, "name": "Marketing Analytics Lead", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1763787680, "t_create": 1762463945, "ats_job_id": "c4a3e371-5cb2-4877-99b8-3a3f95c0be48", "display_job_id": "c4a3e371-5cb2-4877-99b8-3a3f95c0be48", "type": "ATS", "id_locale": "9209994103405261648-en", "job_description": "Build and maintain executive-ready dashboards/scorecards by market, objective, and channel (spend, reach, efficiency, brand health and brand lift). Set the agenda, build the pack, and facilitate the monthly discussion with the VP and Directors. Present regional, country, strategy and and channel-level trends; explain actual vs. forecast variance, drivers, risks, and opportunities. Recommend reallocation scenarios across campaigns/channels; track decision follow-through. Run \u201cwhat-if\u201d scenarios using MMM elasticities and test results to guide investment allocation. Maintain market-level forecasts; decompose variance and advise on course-corrections. Tracking of country level allocations by strategy against annual plan Prepare/share clean inputs for MMM and incrementality; ensure data fidelity and methodological consistency. Digest and socialize findings with clear implications for media mix, incrementality and market-level investment. Partner with brand, growth & media teams for holdout implementation and analysis for channel investment and large scale campaigns. Partner with finance on top of funnel business trends analysis on an ad-hoc basis (i.e. if we see conversion changes and need to dig into the source) Produce high-level readouts for big campaign moments: including pre-/post- and YoY comparisons. Combine business metrics (e.g., acquisition, revenue proxies, LTV indicators) with brand health metrics (e.g., QuestBrand/YouGov/Ipsos, platform brand-lift) to form a POV on whether objectives were met and what we learned. Support the VP, Global Marketing in \u201cstate of the business\u201d reviews across geographies. Surface country-level signals, opportunities, and risks; coordinate with Finance, Media, and Marketing to align on actions. Serve as the Global Marketing analytics point-of-contact with Match Group central analytics teams and external partners. Collaborate with Data Engineering/Analytics to QA pipelines and keep decision-grade data flowing. 7-10+ years in marketing/media analytics (consumer subscription or mobile/app experience a plus). Strong BI skills (Looker/Tableau/Data Studio); working fluency in Python/R for analysis and scenario modeling. Hands-on experience supporting MMM and incrementality/geo tests; proven ability to convert model outputs into budget decisions. Fluency with brand-lift methodologies and brand equity tracking (e.g., QuestBrand, YouGov, Ipsos) and how to integrate with performance KPIs. Executive presence: succinct storytelling, meeting facilitation, and stakeholder management across senior audiences. Data rigor: taxonomy design, QA habits, comfort with ambiguity, and bias to action. Familiarity with privacy-aware measurement and mobile attribution (e.g., AppsFlyer/Adjust) is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38762858", "isPrivate": false}, {"id": 20079076, "name": "Machine Learning Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1763787680, "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.. 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. 4+ years of experience, depending on education, as an MLE. 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. 2+ years of experience for Senior designing and developing online and production grade ML systems. 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/20079076", "isPrivate": false}, {"id": 29062284, "name": "Staff Machine Learning Engineer, Growth", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1763787680, "t_create": 1746481441, "ats_job_id": "9638198d-e429-4945-802c-9c470e1ac692", "display_job_id": "R0004387", "type": "ATS", "id_locale": "R0004387-en", "job_description": "Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features Define and own the technical roadmap for ML within your product area and align with company-wide priorities 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 Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space. Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. 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 Strong programming skills: Proficiency in Python and ML libraries such as PyTorch Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus. System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing). Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus. Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good 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.. Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role Previous experience in User Growth or Monetization 3+ years of experience designing and developing end-to-end, production grade ML systems 4+ years of experience working in a cloud environment such as GCP, AWS, Azure 3+ years of experience leading projects with at least 1 other team member through completion. A degree in computer science, engineering, or a related field or equivalent experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29062284", "isPrivate": false}, {"id": 38635885, "name": "Insights & Strategy Operations Lead", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1763787680, "t_create": 1761602968, "ats_job_id": "7fdc847d-e970-4f1b-93ea-ee03456bdb23", "display_job_id": "R0004627", "type": "ATS", "id_locale": "R0004627-en", "job_description": "Operational Leadership: Lead the planning and delivery of the team's work, bringing clarity to priorities, timelines, and deliverables so projects move smoothly from idea to impact. Budget Ownership: Oversee the Insights & Strategy budget, track spend, and guide investment decisions across research, partnerships, and tools. Resource & Capacity Planning: Partner with Insights & Strategy leadership to plan team bandwidth and resourcing, keeping the group focused on the highest-impact work. Agency and Vendor Management: Lead day-to-day relationships with external research and strategy partners, from scoping and contracting to ways of working. Partner with Legal and Procurement on contracts and compliance. In-House Research Operations: Scope and manage custom, in-house research projects from start to finish, ensuring rigor in methodology, compliance, recruitment, and cross-functional alignment. Strategic Planning & Roadmap Design: Partner with Insights & Strategy leadership on annual and quarterly planning. Determine what work should be done in-house vs. with external partners, sequence priorities thoughtfully, and keep the team focused on what matters most. Insight Activation: Create engaging ways to share insights across Hinge \u2014 from leadership sessions to company-wide moments \u2014 turning understanding into action. Systems & Continuous Improvement: Refine the tools, processes, and documentation that keep work transparent and effective. Make it easier for the team to see progress, learn from outcomes, and celebrate impact. Operational : 8+ years in operations, project management, or strategy roles \u2014 ideally within marketing, research, or insights \u2014 with a proven experience managing complex, multi-stakeholder initiatives from brief to delivery. Collaborative Strategist: A systems thinker and problem-solver who partners closely with researchers, strategists, and marketers to turn insight into action and bring structure to creativity. Mission-Driven: Passionate about Hinge's mission to inspire intimate connection and create a less lonely world. Experience with research and strategy teams or agencies. Familiarity with tools like Asana or Monday.com. 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