Staff Product Manager (Trust & Safety)

• We are looking for a Staff Product Manager to join our Anti-Abuse Team. You will own a consequential area of our safety charter: reducing the prevalence and impact of policy-violating actors and content on Tinder. You will set direction across detection, prevention, remediation, and enforcement, and sustain it across multiple related initiatives
• Own the product strategy and multi-quarter roadmap for a core abuse area including explicit choices about what we will and will not pursue
• Make principled calls on the tradeoffs this domain forces, from precision versus recall to automated action versus human review, and set guardrails that keep those calls consistent
• Partner closely with Anti-Abuse Analysts to uncover evolving bad actor tactics and translate them into durable product defenses
• Drive execution and alignment across Engineering, Design, Data Science, Policy, Legal, and Trust & Safety Operations, turning community guidelines into scalable, enforceable systems
• Define the measurement foundation for your area, including prevalence, exposure, repeat offending, false positives, and appeal outcomes, and how we evaluate impact where clean experiments are not possible
• Apply AI and ML where they create real leverage in detection, classification, and review, with a clear view of what makes each bet worth pursuing
• Be the authoritative product voice on anti-abuse at Tinder: communicate strategy, tradeoffs, and impact to senior leadership, and drive executive-level alignment on high-stakes enforcement decisions, including when the answer is unpopular with Growth
• Hold the quality bar for shipped enforcement experiences: stay hands-on with the product and fix root causes rather than individual bugs

Benefits

• Mind & Body: Take care of yourself with benefits to keep you physically and mentally healthy.
• Company Perks: As winners of Comparably’s 2022 Best Company Perks and Benefits Award, we’re proud to say we provide perks that make a difference
• Life @ Tinder: We support each other— from informal check-ins to snacks + catered lunches at HQ to the flexibility to take time off when you need it

• Analytical rigor, including comfort reasoning from imperfect data and holding a credible line on what the evidence does and does not support
• A track record of sustained, material outcomes across multiple related initiatives in Trust & Safety, fraud, abuse prevention, content moderation, or risk
• Strong product intuition for remediation and enforcement experiences that are effective, fair, and intelligible to the people on the receiving end, holding that under-enforcement is a fairness failure as much as over-enforcement
• Systems thinking across the full abuse lifecycle, with the judgment to know when a problem calls for better detection, a different intervention, or a change to the experience itself
• Demonstrated ability to operate in highly ambiguous, adversarial environments and deliver resilient, scalable solutions
• Hands-on with data. Writes their own SQL and interrogates prevalence and precision numbers rather than accepting a dashboard
• Ability to set direction and drive execution on large, cross-functional initiatives from concept to launch and iteration
• Fluency with ML-based detection systems. Comfortable discussing precision, recall, model thresholds, and data pipelines with engineers
• Fluency applying AI tools in product work, with clear judgment about where they add leverage and where they don’t
• Minimum of 8+ years of product management or other relevant experience building and scaling products or systems
• Working knowledge of the online safety regulatory environment, and the ability to translate regulatory requirements into product decisions rather than handing them to Legal
• Strong communication skills with experience presenting to and influencing senior stakeholders
• Conviction to advocate for user safety and platform integrity
• Experience with age assurance, identity verification, or biometric signals in a consumer product
• Experience with adversarial ML, including evasion, model drift, or detection of AI-generated content
• Experience in consumer social or dating platform
• Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer