• Own escalations: take the most technical support tickets and unblock users quickly • Deep debugging: reproduce issues, inspect logs, isolate root causes, and propose fixes/workarounds • Architecture guidance: advise on app structure, data modeling, auth, payments, performance, and deployment patterns • Incident handling: diagnose platform issues vs user issues, coordinate internally, communicate status clearly • Knowledge base: write high-signal docs, runbooks, and troubleshooting guides • Automation: build tooling to detect common failures, generate better diagnostics, and reduce repeat tickets • Feedback loop: surface product gaps, propose improvements, and help implement fixes where needed