Manager, Analytics (Trust & Safety)

Our Mission

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.

Our Values

• Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
• Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
• Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
• Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
• Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us.
• Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.

The Team

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:

• Safety Products enhances members' perception of safety through healthy engagement, safe-dating awareness, and support when something goes wrong — owning reporting and the Safety Center, verification and suspension flows, Face Check and Selfie Challenge, and our respectfulness and IRL safety experiences.

• Account Integrity secures and qualifies accounts so that each one represents a unique, authentic, qualified individual — while controlling friction, acquisition cost, and privacy. It owns authentication and account access, Passkeys and SMS/OTP, account recovery, and our defenses against account takeover.

• Anti-Abuse proactively identifies, disrupts, and mitigates adversarial abuse at scale, balancing accuracy against responsiveness — owning scaled-abuse detection, signal analysis, the rules engine, rapid-response mitigations, and enforcement quality.

• Moderation & Ops keeps Tinder safe, resilient, and compliant through the internal tools, back-end systems, and AI integrations that drive moderation quality, operational efficiency, and data hygiene — including appeals and case tooling, AI moderation, and conversation safety systems.

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.

Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week in NYC, Los Angeles, or Dallas.