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Salary: USD 215,000 - 225,000 / annual
Hinge (Tinder's dating app) is seeking a Staff Product Manager to lead Trust & Safety strategy for abuse prevention and policy enforcement. You will own a core area of the safety charter: reducing the prevalence and impact of policy-violating actors and content on the platform.
In this role, you will:
- Own the product strategy and multi-quarter roadmap for abuse prevention, making principled tradeoffs between precision vs. recall, automated action vs. human review, and setting guardrails for consistency.
- Partner 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 to turn community guidelines into scalable, enforceable systems.
- Define the measurement foundation for your area, including prevalence, exposure, repeat offending, false positives, and appeal outcomes.
- Apply AI/ML strategically to detection, classification, and review with clear ROI assessment.
- Serve as the authoritative product voice on anti-abuse to senior leadership, communicating strategy, tradeoffs, and impact; drive alignment on high-stakes enforcement decisions.
- Maintain quality standards for shipped enforcement experiences, staying hands-on and fixing root causes.
The role is hybrid, requiring in-office collaboration three times per week in either the New York or Los Angeles office.
Requirements:
- Minimum 8+ years of product management or relevant experience building and scaling products or systems.
- Track record of sustained, material outcomes across multiple related initiatives in Trust & Safety, fraud, abuse prevention, content moderation, or risk.
- Systems thinking across the full abuse lifecycle with judgment to identify whether problems need better detection, different interventions, or experience changes.
- Strong product intuition for remediation and enforcement experiences that are effective, fair, and intelligible to users.
- Demonstrated ability to operate in highly ambiguous, adversarial environments and deliver resilient, scalable solutions.
- Analytical rigor, including comfort reasoning from imperfect data and holding credible lines on evidence.
- Ability to set direction and drive execution on large, cross-functional initiatives from concept to launch and iteration.
- Strong communication skills with experience presenting to and influencing senior stakeholders.
- Fluency with ML-based detection systems; comfort discussing precision, recall, model thresholds, and data pipelines with engineers.
- Working knowledge of the online safety regulatory environment and ability to translate regulatory requirements into product decisions.
- Hands-on with data; writes own SQL and interrogates prevalence and precision numbers rather than accepting dashboards.
- Fluency applying AI tools in product work with clear judgment about where they add leverage.
- Conviction to advocate for user safety and platform integrity.
Nice to have:
- Experience with age assurance, identity verification, or biometric signals in consumer products.
- Experience with adversarial ML, including evasion, model drift, or detection of AI-generated content.
- Experience in consumer social or dating platforms.
