aisqlproduct managementrisk managementmachine learningdata pipelinescontent moderationfraud preventiontrust and safety
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Средняя
$215к-225к/год
$190к$210кмедиана$250к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $4.1к/мес ($3.3к - $5.7к)
89
Отличная вакансия
развернуть
Чётко очерченная роль с высоким влиянием в Trust & Safety сочетает хорошую оплату, ответственность на уровне Staff и заметное участие в ключевых решениях.
Кликните для подробной информации
Влияние на продуктХорошая оплатаПонятные задачиВесомые льготы
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Product Manager (Trust & Safety): Owning Tinder’s anti-abuse product strategy and multi-quarter roadmap across detection, prevention, remediation, and enforcement with an accent on AI/ML-based detection, measurement, and fair user protection. Focus on designing scalable enforcement systems, resolving precision-versus-recall tradeoffs, translating regulations into product decisions, and aligning senior stakeholders on high-stakes safety choices.
Location: Hybrid, with in-office collaboration three times per week in New York, New York or Los Angeles, California
Salary: $215,000–$225,000 per year, subject to geographic adjustment by city and state.
Company
hirify.global operates Tinder, a global dating platform focused on human connection, user safety, and online and real-world trust.
What you will do
Own the product strategy and multi-quarter roadmap for a core anti-abuse area.
Set consistent guardrails for tradeoffs between precision and recall, automated action and human review, and enforcement impact.
Partner with Anti-Abuse Analysts to identify evolving bad-actor tactics and build durable product defenses.
Align Engineering, Design, Data Science, Policy, Legal, and Trust & Safety Operations on scalable enforcement systems.
Define measurement for prevalence, exposure, repeat offending, false positives, appeals, and impact where controlled experiments are unavailable.
Apply AI and ML to detection, classification, and review while communicating strategy and high-stakes decisions to senior leadership.
Requirements
8+ years of product management or relevant experience building and scaling products or systems.
Experience delivering sustained outcomes across Trust & Safety, fraud, abuse prevention, content moderation, or risk.
Ability to lead large, cross-functional initiatives from concept through launch and iteration.
Fluency with ML-based detection systems, including precision, recall, model thresholds, and data pipelines.
Hands-on SQL and analytical rigor when evaluating imperfect data, prevalence, and precision.
Working knowledge of online safety regulation and the ability to translate requirements into product decisions.
Nice to have
Experience with age assurance, identity verification, or biometric signals in consumer products.
Experience with adversarial ML, evasion, model drift, or AI-generated content detection.
Experience in consumer social or dating platforms.
Culture & Benefits
Flexible vacation and 10 sick days.
Volunteer time, charitable donation matching up to $15,000 annually, and paid parental leave.
Health, vision, dental, mental health, wellness, pet insurance, and commuter benefits.
401(k) employer match up to 10% and an Employee Stock Purchase Plan.
Mentorship, access to 6,000+ Udemy courses, and a $3,000 annual professional development stipend.
Free Tinder Gold subscription.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →