Project Deep Dive / HM BQ

HM and onsite deep-dive rounds center on a past project presentation plus behavioral follow-ups. Senior/staff loops now probe AI practice, cross-team influence, platform ownership, business impact, mentorship, and whether the candidate can turn a local need into an organization-level solution. Requirements Prepare a concise technical project presentation, commonly 3-5 slides. Minority variant: one SDE II loop specified 2-3 slides; confirm the expected length before building the deck. Cover the original problem statement, your role, architecture, hard trade-offs, measured impact, and what you would improve now. Common BQ prompts include: Why Rippling? Describe a recent project or internship challenge. Share a time project scope grew beyond expectations and how you handled it. How did you schedule the timeline and set priorities? Describe a conflict and the trade-offs used to resolve it. What quality matters most to you at work? What quality are you still weak at? Describe mentorship or helping another engineer grow. How much of your time is spent across design, coding, review, coordination, and strategy? If a coding agent generates code, do you still count it as code you personally wrote? Why? What AI-related tool, workflow, or technical practice have you promoted beyond your immediate team in the last six months? How did a local need become a platform solution, and what resistance did you overcome? How did you design integration patterns, ownership boundaries, and data sync to avoid duplication? Expect interruptions on technical depth rather than a pure presentation monologue. Notes Candidates who treated the round as casual resume discussion were surprised by the expectation for slides. Managers probe both business impact and technical ownership. Have numbers ready, and define what success threshold made those numbers meaningful. For senior/staff candidates, the round is explicitly about cross-team influence: be ready to name stakeholder groups, resistance, prototypes or data used to win support, team size, and which architecture decisions were yours. AI practice is now part of the senior/staff behavioral rubric. Treat it as an ownership question, not a tooling brag: explain where AI changed delivery, what review guardrails you used, and how you rolled the practice out safely. The round can be paired with level/team-match discussion, so keep your scope and seniority signals explicit. Preparation Build a concise slide deck: context, architecture, trade-offs, impact, lessons. Prepare STAR stories for scope creep, conflict, mentorship, tight deadline, and weakness. Rehearse a five-minute version and a twenty-minute technical-drill-down version of the same project.