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American Express·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior
May 2026

Summary

PM interview at American Express, one design question about building a reimbursement system from scratch. Pretty open-ended, which I wasn't fully prepared for.

Questions Asked (1)

Q1

Design an automated reimbursement system.

System DesignProduct Sense & IdeationCross-functional Alignment
Author's notes

I went straight into features and kind of skipped the problem framing, which I regretted about two minutes in.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope and goals of the reimbursement system, focusing on user pain points and business objectives. Then, outline a high-level design that covers key components like submission, approval, and payment, while addressing automation and integration. Finally, discuss trade-offs, success metrics, and cross-functional dependencies.

Pro tip: Emphasize how automation reduces manual errors and speeds up reimbursement, directly impacting employee satisfaction and operational efficiency. Also, highlight the importance of compliance and fraud detection, which are critical in financial services.

1. Clarify Requirements

Ask questions to understand the scope: who are the users (employees, managers, finance), what types of expenses, what are the current pain points, and what are the business goals (e.g., reduce processing time, improve accuracy).

2. Define Success Metrics

Identify key metrics such as reimbursement cycle time, error rate, employee satisfaction, and cost per transaction. These will guide design decisions and measure success.

3. Design High-Level Architecture

Outline the main components: expense submission (mobile/web), automated policy checks, approval workflows, integration with accounting/payroll systems, and payment processing. Consider automation opportunities like OCR for receipts and AI for anomaly detection.

4. Address Cross-Functional Needs

Discuss how to align with stakeholders: finance for compliance, IT for integration, legal for data privacy, and employees for usability. Highlight the need for clear communication and training.

5. Discuss Trade-offs and Risks

Talk about trade-offs between automation and manual oversight, speed vs. accuracy, and build vs. buy. Address risks like fraud, data security, and change management.

Key Points to Mention

  • Automation of expense submission and approval using OCR and AI to reduce manual effort
  • Integration with existing systems like ERP, payroll, and corporate cards for seamless data flow
  • Compliance with company policies and regulatory requirements (e.g., IRS rules, SOX)
  • Fraud detection and anomaly detection using machine learning
  • User experience for employees and approvers, including mobile accessibility
  • Metrics for success: cycle time reduction, error rate, adoption rate, and cost savings

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.