Jobs at Match Group

The Machine Learning Engineer II at Tinder will develop and deploy machine learning models to enhance user experiences, collaborate with cross-functional teams, and analyze model impact through experiments.

Coordinate end-to-end interview scheduling, candidate communication, and onsite logistics across time zones. Maintain ATS and recruiting systems, resolve scheduling conflicts, optimize processes, build documentation/templates, and partner cross-functionally to deliver a seamless candidate experience for technical and non-technical roles.

Lead architecture and implementation of MarTech measurement, attribution SDKs (iOS/Android), server-side event delivery, and marketing operations tooling. Own roadmap, set standards, build APIs/services, and enable AI-native marketing workflows across Match Group brands.

Build and maintain MarTech across mobile clients and backend: instrument iOS/Android apps, handle privacy/consent and event delivery, build APIs and marketing tooling, manage programmatic ad workflows, and develop AI/agent-ready marketing infrastructure and tooling.

As the Growth Product Marketing Lead, you'll drive product marketing strategy, collaborate across global teams, and enhance user engagement through growth strategies, app store optimization, and lifecycle tactics.

Lead architecture design and implementation of iOS features for Tinder app, mentor team members, and collaborate with product and design teams to create user-focused solutions.

Lead end-to-end delivery of MarTech initiatives across mobile, web, attribution, analytics, and data systems. Translate business needs into technical requirements and rollout plans, coordinate cross-functional execution, troubleshoot tracking and attribution issues, improve MarTech operations, and apply AI/automation to streamline investigative and operational workflows.

The Principal AI Learning & Enablement Partner will drive AI adoption across Match Group by creating an AI learning roadmap, partnering with leaders, and enabling employees. They will create practical applications of AI in the workplace and track usage and engagement for impactful outcomes.

Lead product vision, strategy, and roadmap across E&E brands; manage and develop product managers; drive mobile user growth, retention, and monetization; partner with Engineering, Design, Data, Marketing, and Trust & Safety; use data, experimentation, and user insights to prioritize and measure impact; ensure community-first, safe experiences and efficient product processes.