Company Privacy Landscape Questions

Demonstrate company specific understanding of privacy and data protection considerations. This covers the organization public privacy commitments, data handling scale and types, major privacy initiatives, known privacy risks or incidents, applicable privacy regulations for their markets and products, data governance practices, and how privacy requirements influence product design, analytics, and third party integrations. Interviewers look for evidence you researched the company privacy context and can discuss implications for compliance, user trust, and practical privacy engineering or policy tradeoffs.

EasyTechnical

0 practiced

Identify which privacy and data protection regulations (for example: GDPR, CCPA/CPRA, LGPD, PDPA) are most likely applicable to the company's products and markets based on public info. For each regulation you list, give three regulation-driven product requirements a PM must monitor.

MediumTechnical

0 practiced

Explain when relying on 'legitimate interest' as a legal basis for processing is appropriate for a product feature (for example, fraud detection) and when explicit consent should be used (for example, personalized marketing). Provide product examples and a short list of risk controls that make legitimate-interest processing defensible.

MediumTechnical

0 practiced

The product serves both EU and US customers. Propose a practical approach for cross-border data transfers that balances performance and compliance. Discuss the use of SCCs, adequacy decisions, data localization, pseudonymization, and encryption in-flight and at rest.

HardTechnical

0 practiced

Country X enacts a data localization law requiring personal data of its residents to be stored and processed domestically. As the PM, propose legal, technical, and product options (e.g., local region, consent gating, hybrid processing), estimate timelines and costs, and discuss user impact and trade-offs for each option.

MediumTechnical

0 practiced

Outline an incident-response playbook for a suspected export of customer email addresses from an internal analytics job. Include immediate triage steps, containment, evidence preservation, stakeholder notification, and regulatory reporting triggers with rough timelines.

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