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6 дней назад

Senior Product Manager (AI Risk & Fraud)

175 000 - 275 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Product Manager (AI Risk & Fraud): Building risk and fraud decisioning systems for financial products with an accent on application fraud, account takeover, transaction fraud, disputes, and explainable AI-powered decisions. Focus on combining behavioral, financial, partner, and network signals, adapting to emerging fraud patterns, and balancing loss prevention with customer friction and program economics.

Location: San Francisco, United States; in-office 5 days a week.

Annual salary: $175,000–$275,000, plus equity and benefits.

Company

hirify.global builds APIs and components that help companies create and operate branded financial products, including credit cards, while handling lending, compliance, and operations.

What you will do

  • Set the long-term vision and roadmap for risk and fraud systems across application fraud, account takeover, transaction fraud, ongoing account risk, and disputes.
  • Combine partner, behavioral, financial, and network data to make risk decisions more predictive and personalized.
  • Own signals, models, rules, thresholds, and actions while balancing loss prevention with customer friction.
  • Advance AI and machine learning capabilities for fraud detection, adaptive decisioning, and automated decisions.
  • Build explainable and auditable decisioning systems and define how risk performance is measured and communicated.
  • Make build-versus-buy decisions and design reusable risk capabilities across partners, products, customers, and risk appetites.

Requirements

  • Experience building or owning fraud, risk, or decisioning products at a bank, issuer, processor, fintech, or fraud and identity company.
  • Strong perspective on applying AI and machine learning to risk decisioning and improving customer outcomes.
  • Highly analytical, with the ability to investigate patterns, test hypotheses, and work directly with data.
  • Technical depth to collaborate with engineers and data scientists on signals, models, rules engines, decision flows, and edge cases.
  • Systems thinking and the ability to connect risk decisions with customer experience, compliance, operations, and partner economics.
  • Excellent communication skills for explaining complex risk problems, priorities, and trade-offs.

Culture & Benefits

  • Startup equity and participation in a team scaling toward profitability.
  • 100% primary health, vision, and dental coverage, with 75% dependent coverage.
  • Catered lunches, a $250 monthly commuter benefit, and Apple equipment.
  • Parental leave and flexible paid time off with a minimum of 15 days per year.
  • 401(k) plan, team-building events, and happy hours.

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