Lucas and Luna strip the mystique from Big Tech hiring, walking real FAANG interview questions — from system design at Amazon to behavioral loops at Google — and the specific preparation strategies that separate successful candidates from those who get ghosted. They analyze leaked interview rubrics, break down how hiring committees weigh competing signals, and discuss when it makes sense to target a lower-tier offer for faster equity growth. Lucas brings the data: offer-negotiation leverage points, vesting schedules, and the probability of passing each interview stage based on public Glassdoor and Levels.fyi data. Luna pushes back with the human factors — how anxiety, overconfidence, and burnout affect performance, and why some engineers bomb take-home assignments despite perfect LeetCode scores. Together, they map the career lattice beyond FAANG: fintech, defense tech, climate tech, and the growing SaaS companies that now offer comparable total compensation packages. They also tackle the trade-offs between IC and management tracks, the rise of staff-plus roles, and how to decide whether to join a startup pre- or post-Series B. Every episode is grounded in a real job listing, a published compensation dataset, or a named company policy. If you're an engineer plotting your next move — or just trying to understand how the tech talent market actually works — this is the conversation you want to overhear.

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