Hybrid Product Manager – Fraud

at Plaid

• Job title: Product Manager – Fraud
• Job type: Full Time
• Experience level: Junior
• Salary: $163,200 - $223,200 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, San Francisco, United States

About the role

• Product Manager on the Fraud team at Plaid designing systems to prevent fraud across their financial network. Responsible for understanding user needs and launching impactful solutions.

Responsibilities

• Take ownership of a defined product surface area. Understand customer needs, write clear requirements, and drive execution with cross-functional partners.
• Contribute to the fraud product roadmap. Identify opportunities to improve detection accuracy, reduce false positives, and enhance customer trust using data and feedback.
• Build with excellence. Partner closely with Engineering and Data Science to design scalable, high-quality systems that balance user experience, performance, and fraud prevention efficacy.
• Measure and iterate. Define success metrics, analyze performance, and refine products to improve accuracy and reliability.
• Communicate with clarity. Align stakeholders, document tradeoffs, and ensure shared understanding across teams.
• Operate with a founder mindset. Take initiative, simplify complex problems, and move quickly even when the path is unclear.
• Learn fast and stay humble. Embrace feedback, seek mentorship, and help raise the bar for Plaid’s products and culture.

Requirements

• 1–4 years of experience in a product-related role (for example Product Manager, APM, startup operator, founder, or product analyst)
• Proven track record of building or launching products end to end
• Strong analytical and product thinking, with the ability to identify customer needs and translate them into clear hypotheses and features
• Experience collaborating with Engineering and Design to to deliver value quickly
• Excellent written and verbal communication skills; able to explain complex ideas simply and effectively
• Comfortable operating in fast-moving, ambiguous environments
• Passionate about technology, data, and building products that protect consumers and businesses from fraud
• Familiarity using AI tools in day-to-day product work, such as prototyping, research, or analysis
• [Nice to Have] Experience in fraud, risk, identity, or security products
• [Nice to Have] Familiarity with ML-driven systems or risk modeling

Benefits

• medical
• dental
• vision
• 401(k)