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Product Manager - Fraud Risk / AML, Bridge
Исключительная возможность работать в топовом финтех-проекте (Bridge/Stripe) над передовыми технологиями. Высокий балл за инновационность продукта, сильную команду выходцев из индустрии и стратегическую важность роли.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубокой экспертизы на стыке финтеха, криптотехнологий и комплаенса. Роль требует 6-10 лет опыта и умения проектировать сложные ИИ-системы для мониторинга транзакций в реальном времени.
Анализ зарплаты
Для позиции уровня Senior/Lead Product Manager в Сан-Франциско или Нью-Йорке в компании уровня Stripe, рыночная зарплата значительно выше средней по стране. Указанный диапазон отражает текущие реалии Tier-1 технологических компаний США для специалистов с опытом 6-10 лет.
Сопроводительное письмо
I am writing to express my strong interest in the Product Manager - Fraud Risk / AML position at Bridge. With over 8 years of experience in fintech and a deep focus on building scalable risk infrastructure, I have consistently viewed risk management not as a bottleneck, but as a strategic growth lever. My background in developing model-driven transaction monitoring systems aligns perfectly with Bridge’s mission to reinvent global money movement through stablecoins.
In my previous roles, I have successfully led cross-functional teams of engineers and data scientists to deploy AI-enabled fraud prevention tools that reduced false positives while maintaining rigorous compliance standards. I am particularly drawn to Bridge because of your innovative approach to programmable money and the opportunity to design resilient, automated controls that can scale across diverse regulatory environments. I am eager to bring my expertise in payments infrastructure and my owner’s mentality to help Bridge build the most trusted stablecoin platform in the world.
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Откликнитесь в stripe уже сейчас
Присоединяйтесь к Bridge, чтобы создавать будущее глобальных платежей на базе стейблкоинов и ИИ-систем управления рисками!
Описание вакансии
About Bridge
We’re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward.
We have a small team of people who have previously built financial infrastructure at some of the world’s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.
Description
Join our Product team to build the systems that make global, programmable money trustworthy at scale. At Bridge, we’re not just improving global payments — we’re reinventing how money moves across borders using stablecoins and modern financial infrastructure.
As a Product Manager for Fraud Risk / AML, you’ll own the products and systems that allow Bridge to scale safely across geographies, partners, and transaction volumes. You’ll work at the intersection of product, engineering, data, compliance, and operations to design risk systems that are fast, adaptive, and deeply embedded in how our platform works.
This role is about enabling high-velocity growth with strong controls — using real-time signals, model-driven decisioning, and thoughtful product design to move fast without cutting corners.
Role Expectations
- Own the end-to-end Fraud Risk / AML product surface, including transaction monitoring, fraud prevention, controls, limits, and escalation workflows.
- Drive product features from ideation to launch in close collaboration with engineering, data, legal, compliance, and operations.
- Design and evolve model-driven, AI-enabled risk systems that learn from new patterns, reduce friction, and improve decision quality at scale.
- Translate complex regulatory, operational, and partner requirements into scalable, intuitive product solutions.
- Build and execute a Fraud Risk / AML roadmap that supports global expansion, new corridors, higher volumes, and new customer use cases.
- Balance automation and human-in-the-loop workflows to optimize for safety, speed, and operational efficiency.
- Define and own key risk metrics (e.g. loss rates, false positives, review volume, time-to-resolution) and use them to guide prioritization and iteration.
- Anticipate system failure modes and design controls that are resilient, observable, and adaptable.
- Work closely with financial institutions and technology partners to ensure Bridge’s risk posture scales globally.
What You’ll Need to Thrive
- Product judgment for complex systems: You’re comfortable reasoning across UX, data, models, ops, and regulation.
- Strong risk intuition: You see risk as a product and systems problem — not just a policy or compliance function.
- Comfort with AI-enabled products: You understand how real-time signals, models, and feedback loops can drive better decisions at scale.
- Owner’s mentality: You take responsibility for outcomes, not just feature delivery.
- Bias toward clarity: You can simplify complex risk concepts into understandable decisions and experiences.
- Collaborative instinct: You partner deeply across teams but can make the call when tradeoffs are hard.
- Curiosity and adaptability: You learn quickly, iterate often, and adjust as new patterns emerge.
Preferred Qualifications
- 6–10+ years of product management experience, with exposure to risk, fraud, compliance, payments, fintech, or crypto.
- Experience building or owning systems related to transaction monitoring, fraud detection, KYC/KYB, AML, or underwriting.
- Familiarity with data- or model-driven decisioning systems, including automation and human-in-the-loop workflows.
- Experience operating across multiple geographies, regulatory environments, or financial partners.
- Comfort working with APIs, platforms, or infrastructure products.
Why This Role Is Different
- You’re building risk as a growth lever, not a gate.
- You’ll work on problems where AI and real-time decisioning matter.
- You’ll help define how stablecoins and programmable money earn trust at global scale.
- You’ll shape foundational systems every Bridge product depends on.
If you’re excited to build the systems that let global money move fast, safely, and at scale, we want to hear from you!
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Навыки
- Data Analysis
- Product Management
- Risk Management
- Machine Learning
- API
- Fintech
- Fraud Detection
- KYC
- Cryptocurrency
- Anti-Money Laundering
Возможные вопросы на собеседовании
Проверка понимания специфики стейблкоинов и их отличия от традиционных фиатных систем в контексте рисков.
Как, по вашему мнению, меняются типологии AML-рисков при переходе от традиционных банковских переводов (SWIFT) к платежам на базе стейблкоинов?
Оценка способности кандидата балансировать между безопасностью и удобством пользователя.
Опишите ситуацию, когда вам пришлось внедрять жесткий контроль рисков, который негативно влиял на конверсию. Как вы оптимизировали этот процесс?
Проверка технической грамотности в области ИИ и машинного обучения.
Как бы вы спроектировали систему обратной связи для модели машинного обучения, которая занимается мониторингом транзакций, чтобы минимизировать количество ручных проверок?
Оценка опыта работы в условиях неопределенности и меняющегося регулирования.
Как вы подходите к приоритизации дорожной карты продукта при выходе на новый рынок с уникальными регуляторными требованиями?
Проверка навыков взаимодействия с кросс-функциональными командами.
Как вы выстраиваете взаимодействие между отделами комплаенса и разработки, когда их цели (безопасность vs скорость выпуска фич) вступают в конфликт?
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