How it went
The interview process began with introductory calls, including a recruiter screen and a hiring manager conversation. It then progressed to a rigorous four-round skills assessment focused on AI-specific product management challenges. Key areas evaluated included LLM evaluation, tool usage, post-launch analysis, and designing for novel hardware. The process concluded with interviews at the director and people/culture levels, emphasizing practical AI product shipping capabilities.
What came up
Data ModelingMachine LearningConceptStatistics & ExperimentationData AnalysisCodingSQLData Structures & AlgorithmsPeople ManagementProject ManagementProgram SenseCross FunctionalSystem DesignProduct DesignEstimationProduct StrategyAnalyticalTechnicalExecutionBehavioralCustomer InteractionApp CritiqueData Pipeline DesignArtificial IntelligencePresentationPortfolio ReviewDebuggingCode ReviewProject Discussion
A candidate-reported account, lightly edited. Interview processes change by team and date.