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Tinder is seeking a Manager, Analytics to lead the Data Science & Analytics team supporting Integrity. You will manage a trio of data scientists across seniorities, serving as analytics partner to Product Team Leads and driving analytical strategy for Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops.
This is a hands-on management role with room to scale the team. The position requires in-office collaboration three days per week in NYC, Los Angeles, or Dallas, with close
As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
We work together to solve complex problems.
Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real‑world safety, cultural nuances, loneliness, love, sex, and more.
The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder.
Integrity Is Where That Work Meets Real-world Stakes. Our Integrity Organization Is Built On Four Product Pillars Working Toward Shared Outcomes
Every decision in this space carries a trade‑off: friction that stops a bad actor also costs a real member a moment of their experience, and the only way to navigate that honestly is with rigorous measurement.
We are seeking a Manager, Analytics to lead the data science function supporting Integrity. You will manage a team of three data scientists spanning a range of seniority — with room to grow it as the space expands — while serving as the analytics partner to the Product Team Leads across all four Integrity pillars. This is a hands‑on management role: you will own the analytical strategy for the space, but you are also expected to stay close to the data — leading investigations yourself when the question warrants it, and raising the bar on your team's work through direct technical mentorship rather than review alone.
This is a hybrid role and requires in‑office collaboration three times per week in NYC, Los Angeles, or Dallas.