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Airbnb Fit and Data Engineering Vision Questions

Topic focusing on understanding Airbnb's cultural fit and how the company's data engineering vision shapes its product strategy, data platform, governance, and cross-functional collaboration. Discuss how a candidate's values, communication style, and approach align with Airbnb's culture while considering the data engineering direction.

MediumTechnical
0 practiced
You're advocating to migrate parts of Airbnb's analytics platform to a data-mesh model to improve team autonomy. Prepare an argument that addresses common objections from a centralized data engineering team (cost, consistency, governance). Include transition steps, pilot scope, and success criteria you would propose.
HardTechnical
0 practiced
Propose a scalable strategy to store and version: large model weights, training datasets (many TBs), and feature engineering code for Airbnb. Discuss metadata tracking (who changed what), storage tiering (hot/warm/cold), retrieval performance for reproducibility, retention policies, and cost trade-offs.
HardTechnical
0 practiced
A high-profile fairness incident occurs where a neighborhood-ranking model systematically under-represents certain communities. You're the AI engineering lead assigned to manage the incident. Provide a step-by-step incident response plan covering immediate technical containment, root-cause analysis, stakeholder communication (internal and external), remediation strategy, and actions to prevent recurrence.
MediumTechnical
0 practiced
Discuss trade-offs between a centralized data warehouse and a federated data mesh approach for Airbnb's global operations. Consider discovery, latency, governance, team autonomy, cost, and ML feature reusability. For which workloads would you prefer one approach over the other and why?
EasyTechnical
0 practiced
Define data governance in the context of Airbnb's AI efforts. Describe two concrete governance controls you would push for to reduce risk when deploying models that use guest and host data, and explain how those controls align with product and legal requirements.

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