Match Group

Data Scientist

• Own data science and analytics for a multi-team product group, defining the long-term strategy, operating model, and team structure that enable scalable experimentation, measurement, and insight generation.
• Partner with senior leaders across Product, Engineering, AI, and Research to shape group-wide product strategy, using metrics, experimentation, and data-driven insights to drive clarity and alignment.
• Design and evolve experimentation and measurement frameworks—including governance, methodology, and tooling—that raise the bar on rigor while capturing both short-term behaviors and long-term user success aligned to business outcomes.
• Lead development of shared data systems, models, and infrastructure (e.g., behavioral analytics, outcome measurement, pipelines, internal tools) in collaboration with AI, ML, and Data Platform teams to accelerate discovery, personalization, and decision-making.
• Synthesize signals across teams and user journeys, identifying cross-cutting trends and patterns that proactively inform product direction and strategic trade-offs.
• Act as a trusted thought partner to executive stakeholders, advising on product strategy, roadmap decisions, and performance diagnostics through a data and experimentation lens.
• Represent the product group in org-wide DS&A forums, contributing to planning, capability building, and the evolution of data culture and best practices.
• Build, lead, and scale a high-performing DS&A team, fostering inclusion, coaching, autonomy, and sustained professional growth.

Director of Data Science – Analytics

Content Marketing Manager

• Lead content design for key Trust & Safety initiatives from discovery through launch, delivering flows, naming, education, and in-app messaging.
• Translate complex concepts into approachable, trustworthy language and interaction patterns, partnering with policy and legal teams to ensure language is clear, inclusive, and compliant.
• Develop, maintain, and evolve content frameworks, taxonomies, reusable patterns, and standards to enable velocity without compromising quality or consistency across safety touchpoints.
• Conduct content audits and test messaging to validate comprehension, tone, and clarity across experiences.
• Work side-by-side with Product, Design, Engineering, Policy, and Research to align strategy and execution.
• Contribute to design critiques, content reviews, and research synthesis to improve content quality and user understanding.
• Communicate design intent and content rationale clearly, connecting decisions to user needs and product goals.
• Contribute to the evolution of Hinge’s voice and tone frameworks for safety and integrity, balancing empathy, clarity, and accountability in how we talk about safety, privacy, and trust.
• Use a systems thinking approach to identify opportunities to improve and scale consistent, transparent communication across product surfaces.
• Model thoughtful, user-centered content design grounded in clarity and purpose; provide thoughtful feedback; and contribute to a collaborative, curious, and high-craft design culture.

Senior Content Designer, Trust & Safety

Digital Marketing

• Define and execute high-impact user acquisition campaigns that drive scale, revenue growth, and brand resonance across markets.

Online Marketing Manager

Manager

• Lead a Global Vendor Management team to ensure seamless execution of day-to-day BPO operations; managing Hinge’s BPO Site Manager and BPO relations
• Provide strategic direction and escalation support to ensure external teams across Moderation, Appeals, Safety, and Support queues meet performance standards.
• Partner with cross-functional stakeholders to translate business priorities into actionable vendor execution plans.
• Ensure accurate forecasting and staffing plans across global vendor sites, aligned with volume trends, product changes, and business cycles; managing the Workforce Management & Capacity Planning Program Manager
• Partner with Finance, Product, and Operations teams to align on future headcount planning and capacity strategy.
• Manage the QA Program Manager and help evolve the QA strategy to ensure accuracy, compliance, and consistency across vendor teams.
• Act as a strategic thought partner in evaluating new tools, automation opportunities, or other operations program improvements.
• Own the long-term vision and strategy for Tier 1 service delivery across channels, balancing scalability, cost efficiency, and customer experience.
• Leverage performance data to identify trends, uncover inefficiencies, and implement sustainable process or tooling improvements.

Senior Manager, Service Delivery

Product Manager

• Own end-to-end product strategy for Hinge’s profiles and discovery surfaces.
• Redesign self-expression on Hinge to promote depth, clarity, and authenticity.
• Explore new interaction patterns that reduce fatigue and increase match quality.
• Use personalization to adapt the experience to user intent and dating context.
• Turn ambiguous opportunities into shipped features through close cross-functional collaboration.
• Communicate product vision, tradeoffs, and decisions clearly to partners and leadership.
• Input into the broader Dating Outcomes strategy.

Senior Product Manager, Matching

Communications

• Execute strategic PR campaigns, including developing messaging, drafting media materials, and handling pitching/distribution across outlets.
• Contribute to shaping story ideas across a variety of dating-forward and corporate PR storytelling activities.
• Coordinate with team members, PR agencies, subject matter experts, and research partners to support campaign rollouts and media requests.
• Pitch and place stories — developing relationships with relevant reporters and editors.
• Help craft talking points, interview prep materials, and early-stage narratives for executives and subject matter experts.
• Maintain and regularly update a shared view of executive comms activity – including speaking moments, milestones, and media opportunities.
• Draft press materials, talking points, and newsroom content in partnership with senior team members as we connect with our target audiences.
• Help maintain team tools, calendars, and process documentation in support of our communications function running smoothly and efficiently.
• Monitor news cycles and identify timely hooks for reactive and proactive pitching.
• Respond to inbound requests from journalists.

Senior Manager, Corporate Communications

Program Manager

• Analyze complex business and product problems and develop actionable insights
• Build and interpret financial, strategic, and analytical models
• Partner cross-functionally with leaders in finance, strategy, product, and marketing
• Contribute to high-impact projects that influence company strategy and performance
• Present findings and recommendations to senior stakeholders
• Develop a strong understanding of Match Group’s brands, growth levers, and financial architecture

Rotation Program Analyst

• Partner closely with Product, Engineering, and Policy to support Integrity initiatives through data analysis, experimentation, and measurement.
• Analyze user behavior related to Integrity and safety initiatives to inform product decisions. Proactively monitor product performance and provide actionable insights and recommendations to improve user experience.
• Design and analyze experiments or quasi-experiments to test hypotheses and evaluate the impact of Integrity-related features.
• Develop and maintain dashboards and monitoring tools to track key safety and risk metrics.
• Produce clear, data-driven insights and recommendations, and communicate findings to cross-functional stakeholders.
• Support the evolution of metrics and measurement frameworks for Integrity products under guidance from senior team members.
• Contribute to improving data quality, pipelines, and analytical infrastructure related to trust and safety use cases.

Data Scientist I, Integrity

• Manage full-funnel media strategy and planning across always-on and campaign initiatives (brand, ROI, acquisition), spanning video/CTV, digital, social, audio, and emerging formats
• Own and maintain global media investment and pacing, including annual and quarterly planning, budget trackers, and in-flight reallocation to hit business, audience, and efficiency goals
• Design and run structured test-and-learn roadmaps (creative, audience, channel, format, bidding, measurement) in partnership with Marketing Analytics and regional teams, translating experiment results into clear, repeatable playbooks
• Set and maintain integration standards for media partners, including onboarding requirements, naming conventions, event mapping, and data quality expectations to protect and strengthen Tinder’s marketing data stack
• Serve as day-to-day lead for our media agency and key platforms, providing clear briefs, feedback, and priorities; ensure accountability on performance, creative excellence, audience strategy, and innovation across partners
• Partner closely internal marketing teams to translate brand platforms into media-first ideas (formats, flighting, context, creator strategy) and to ensure integrated storytelling across paid, owned, and earned channels
• Collaborate with Creative on paid asset strategy and production, providing channel-specific guidance on formats, specs, hooks, and messaging; influence how concepts are adapted for TikTok, Reels, Shorts, CTV, OOH, and more
• Drive operational excellence in media, including documentation, QA processes, budget governance, and partner scorecards, so the team can scale tests, learnings, and best practices across markets efficiently

Media Manager

Machine Learning Engineer

• Build and evolve robust, scalable ML infrastructure that supports ML engineers across all Tinder business domains
• Set and drive the long-term technical direction for Tinder’s ML infrastructure
• Design, build, and operate production-grade ML serving infrastructure for ML models using Ray Serve and Triton
• Develop and maintain robust serving infrastructure specialized for serving large language models (LLMs) in-house
• Develop efficient ML serving platform using Ray Serve and Triton
• Build the foundation of Tinder’s feature store using Databricks and internal tooling
• Own infrastructure projects end to end—from design and implementation to adoption and measurable impact.
• Partner closely with ML Engineers, ML Software Engineers, and CloudOps to ensure infrastructure directly enables better models and faster iteration
• Establish and propagate best practices in ML infrastructure, data engineering, and model serving
• Mentor and support junior engineers, raising the technical bar across the team

Senior Software Engineer, Machine Learning Infrastructure

• Lead and execute cross-cutting machine learning initiatives that span multiple ML domains
• Partner closely with the Director of Engineering to identify the opportunities
• Step into complex or struggling projects and help bring them back on track
• Embed with individual pods as needed to provide deep technical support
• Act as a strategic thought partner to engineering managers
• Collaborate with domain tech leads as a cross-domain advisor
• Influence technical direction and best practices across the ML organization
• Mentor senior engineers and help develop technical leadership

Staff Software Engineer, Machine Learning

• Design, implement and maintain ML pipelines and CI/CD workflows (training, deployment, retraining)
• Expose ML models through inference APIs (Cloud Run / Vertex AI Endpoints) to be consumed by product and platform services
• Own monitoring, alerting and reliability of ML systems in production
• Write optimized, high-performance, scalable, testable, maintainable, and observable code
• Ensure operational readiness of ML models (logging, metrics, incident handling)
• Act as a local ML Ops reference for the Paris Data Science team
• Support DS teams to industrialize models and experiments

ML Ops Engineer

• Manage full‑funnel media strategy and planning across always‑on and campaign initiatives (brand, ROI, acquisition), spanning video/CTV, digital, social, audio, and emerging formats
• Own and maintain global media investment and pacing, including annual and quarterly planning, budget trackers, and in‑flight reallocation to hit business, audience, and efficiency goals
• Design and run structured test‑and‑learn roadmaps (creative, audience, channel, format, bidding, measurement) in partnership with Marketing Analytics and regional teams, translating experiment results into clear, repeatable playbooks
• Set and maintain integration standards for media partners, including onboarding requirements, naming conventions, event mapping, and data quality expectations to protect and strengthen Tinder’s marketing data stack
• Serve as day‑to‑day lead for our media agency and key platforms, providing clear briefs, feedback, and priorities; ensure accountability on performance, creative excellence, audience strategy, and innovation across partners.
• Partner closely internal marketing teams to translate brand platforms into media‑first ideas (formats, flighting, context, creator strategy) and to ensure integrated storytelling across paid, owned, and earned channels
• Collaborate with Creative on paid asset strategy and production, providing channel‑specific guidance on formats, specs, hooks, and messaging; influence how concepts are adapted for TikTok, Reels, Shorts, CTV, OOH, and more
• Drive operational excellence in media, including documentation, QA processes, budget governance, and partner scorecards, so the team can scale tests, learnings, and best practices across markets efficiently

Associate Manager, Global Media

• Explore, design and build AI prototypes capable of significantly altering our users’ experiences
• Develop detailed data models to explain user behavior and discern complicated patterns
• Dive into the data to analyze subtle trends in business performance, presenting insights and stories through the data in accessible ways
• Work alongside our Architects to evaluate and review the algorithms we use to match users
• Design and building complex predictive models, creating forecasts, and mining deep insights from raw and unstructured data
• Perform deep dives into unstructured data and build complex models to extract valuable insights into our users and the business
• Perform time series analysis and forecasting for a variety of important business and operational metrics
• Coordinate with the Product team to identify and measure key business areas and provide them with actionable insights
• Evangelize a data-driven culture
• Participate in a highly collaborative environment, we want you to share your expertise!

Operations

• Manage end-to-end interview coordination for complex, high-volume, and multi-timezone hiring, ensuring an efficient and candidate-focused experience.
• Schedule and coordinate interviews using tools such as Google Calendar, Gmail, GoodTime, and Lever, proactively resolving scheduling conflicts and last-minute changes to keep interviews on track.
• Partner with recruiters to align interview logistics with candidate availability, role priorities, and interviewer constraints.
• Coordinate interviews for executive and senior leadership roles, partnering closely with Executive Assistants to manage complex calendars, confidentiality, and shifting priorities.
• Oversee interview logistics, including debrief coordination, candidate travel, and meal vouchers.
• Maintain accurate ATS and recruiting system records (e.g., Lever, GoodTime), upholding documentation standards and flagging issues that impact data quality or candidate experience.
• Share coordination insights and trends (e.g., scheduling bottlenecks, candidate feedback) to support improvements in hiring efficiency.
• Conduct candidate office tours and support professional onsite candidate communications.
• Support scheduling and logistics for rotational and early-career programs, as needed.