Manager, Analytics; Trust & Safety

Manager, Analytics

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.

In this role, you will:

• Lead and Develop a Team of Data Scientists

  • Manage, coach, and grow a team of data scientists supporting the Integrity organization, owning hiring, career development, and performance.

  • Set clear ownership across the four pillars and balance your team's capacity against competing roadmap and escalation demands.

  • Raise analytical quality through hands-on technical mentorship — reviewing methodology, pairing on complex analyses, and unblocking your team on ambiguous problems.

• Serve as the Analytics Partner to Integrity Product Leadership

  • Act as the primary data science partner to the Product Team Leads for Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops.

  • Shape roadmaps by sizing opportunities, pressure-testing hypotheses, and defining what success looks like before work starts.

  • Translate ambiguous safety and abuse problems into tractable analytical questions with clear decision criteria.

• Stay Hands-On with the Data

  • Personally lead high-stakes or highly ambiguous investigations — abuse pattern shifts, enforcement anomalies, unexpected regressions in member experience.

  • Build and maintain the analytical frameworks the team relies on: prevalence measurement,…