Staff Product Manager, Grindr

• This is a high-impact individual contributor role for someone who thrives at the intersection of data, integrity, and user experience, translating safety principles into scalable product innovation
• 7–11 years of product management experience at a high-performing, consumer-facing company
• Experience in fraud detection, risk management, or ecosystem integrity; familiarity with trust & safety principles is a plus
• Strong analytical and technical skills — comfortable working with data to diagnose issues, define KPIs, and validate solutions
• Demonstrated ability to lead cross-functional initiatives and influence without direct authority
• Experience building or integrating automation and AI-driven tools to improve operational efficiency and safety
• A thoughtful balance of risk management and user empathy — you protect users while enabling freedom and connection
• Excellent written and verbal communication skills; you can distill complex topics into clear, actionable insights

Desirable

• We’re looking for a Staff Product Manager, Ecosystem Health to strengthen the integrity of Grindr’s platform and protect our users’ experiences across the ecosystem
• This role sits at the intersection of fraud prevention, risk management, and trust & safety — focusing on ensuring authenticity, reducing harmful behavior, and driving confidence in our community interactions
• You’ll design strategies and build product solutions that detect, prevent, and respond to fraud, spam, and abuse, while partnering cross-functionally with teams across Legal, Customer Experience, and Engineering
• Platform Integrity: Lead efforts to detect and moderate spam, fake accounts, harassment, and other malicious behaviors that affect user experience
• Building and Refining AI / ML Tools: Develop and refine AI/ML systems to moderate our platform at scale while being mindful of what users are on Grindr to do
• Cross-Functional Collaboration: Work closely with Customer Experience, Legal, Privacy, and Marketing to translate policy into actionable product requirements
• Build User Trust: Develop user-facing features that promote authenticity and trust on the platform while respecting the desire for discreteness and privacy on the platform
• Data-Driven Decision Making: Define and monitor metrics that measure fraud, risk, and ecosystem health; use data insights to proactively reduce exposure and improve user experience
• Crisis & Incident Response: Support cross-functional response plans for incidents impacting platform integrity and user safety
• Continuous Learning: Stay ahead of regulatory, technological, and behavioral trends in fraud and platform risk to evolve our approach and protect our community