Product Manager, Radar – Fraud and Abuse Prevention

🔥 2 minutes ago

🏄 California, New York, +1 more states – Remote

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⏰ Full Time

🟠 Senior

🔴 Lead

✅ Product Manager

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Logo of Stripe

Stripe

1001 - 5000 employees

Founded 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round on 2021-05

Fintech • eCommerce • B2B

Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.

📋 Description

• Develop a deep understanding of the fraud and abuse landscape • Investigate emerging attacks with customers and assess their financial and operational impact • Translate findings into product strategy and roadmap • Partner with engineering, data science, and design to develop scalable, reliable defenses • Scope the product, prioritize work, and execute with high rigor • Work with sales, marketing, and customer-facing teams to validate demand, coordinate launches, and drive adoption • Own product performance, user experience, and business metrics • Work directly with customers to understand fraud and abuse attacks and identify problems to solve

🎯 Requirements

• 8+ years of Product Management experience • Highly analytical, with a rigorous approach to quantitative and qualitative evidence; comfortable digging into data, writing SQL when needed, and defining metrics • Experience taking products from zero to one • Strong commercial and business acumen • Proven cross-functional leadership, including partnering with B2B sales teams on customer discovery, product positioning, and adoption • Experience shipping Dashboard and API products • Comfort with substantial ambiguity and making thoughtful trade-offs • Technical fluency to work deeply with engineering and data teams on complex systems • Strong written and verbal communication skills • Ownership mindset and high bar for product quality

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