Scaling agile frameworks across large organizations.
Treat it as a process gap, not a grudge. Find out where and when decisions are made, get your team's constraints in front of the deciders before the meeting through short written proposals with a comment window both time zones can reach, and escalate a specific costly decision, not the people who made it.
Describe your use of AI tools by task, each with its check: reading cited lines, running code, confirming APIs against the docs for your version. Refuse any answer you cannot check cheaply or that is costly to get wrong, keep restricted data out of unapproved tools, and back it with one real catch.
Choose a work sample with real decisions in it that you still understand line by line and are allowed to share. Be ready to admit which parts were other people's or a tool's, what is wrong with it, and what you would change, because the interviewer can open any file and ask why it is there.
Yes, once and briefly, with an assumption attached. In a hypothetical product exercise the scored move is what follows. Separate gaps that change the design from gaps that do not, choose assumptions that keep the problem hard, write them where both of you can see them, and say which parts of the design depend on each.
Treat the backlog as inventory with a carrying cost, delete rather than archive the items nobody will ever order, and derive how deep to refine from the team's measured throughput instead of refining everything. Refinement that clarifies nothing is usually missing a decision, not a better format.
Name the clock and what it was costing, say which facts you had and which you chose not to wait for, classify the call as reversible or not, act at the level you were authorised to and say so, and record the reasoning at the time so it can be judged on what you knew.