Palo Alto, California, US (Hybrid)1 open job
Match Group operates Tinder, Hinge, Match.com, and other dating apps with 750M+ downloads, presenting a large-scale attack surface around sensitive personal and location data for hundreds of millions of users worldwide.
Match Group operates a portfolio of dating apps - including Tinder, Hinge, Match.com, OkCupid, and others - that have been downloaded over 750 million times across 40+ languages. The attack surface is substantial: highly sensitive personal data (location, sexual orientation, private messages, photos, payment info) tied to hundreds of millions of users, distributed across at least 20 global offices and multiple independently operated brands. The threat model here is not theoretical. Dating platforms are high-value targets for stalkers, blackmailers, state-level actors, and fraud rings. A breach doesn't just leak emails - it exposes intimate details of people's lives at scale.
The company has publicly stated it does not sell user data to third parties, treating dating data as inherently sensitive. That principle shapes the security posture: protecting PII, sexual orientation data, geolocation signals, and messaging content is core infrastructure work, not a compliance checkbox. With brands serving niche communities (BLK, Chispa, The League, Azar) alongside mass-market platforms, security engineering must account for varied regulatory environments - from GDPR in Europe to patchwork U.S. state privacy laws - and the specific risks marginalized users face on dating platforms.
The team, roughly 2,000 people company-wide, operates across a complex portfolio that includes video chat (Azar), compatibility algorithms (OkCupid, Hinge), and swipe-based interaction models. Security roles here likely touch identity and access management, fraud detection systems, content moderation tooling, incident response across multiple brands, and securing the data pipelines that power matching algorithms. The stakes are concrete: roughly a third of marriages in the U.S. now begin on a Match Group app, meaning the integrity of these systems is woven into the social fabric at scale.
