Curriculum
Lead the room
The seniority mix is senior-heavy (97 senior, 92 mid, 55 staff), so the report's graduate is an experienced PM adding AI depth, and the staff-level moves are part of the target profile. It names landing an operating standard, working with r
- 13.01
Decision rights
Put one owner on each outcome, decide which surfaces even deserve a PM, and let review capacity, not headcount, set how much you cover. - 13.02
Work with researchers
Build the relationship that gets the model roadmap out of research, then place capability bets weighted by confidence, each with a hedge that still ships if the capability slips. - 13.03
Land one operating standard across research
Land a single operating standard across teams you do not manage by building the coalition before the announcement, making the standard the easy default, and measuring adoption instead of declaring victory. - 13.04
The data flywheel and self-improving agents
Stand up the loop that turns production signals into the next model, using the implicit feedback users already produce, and know when a pattern from one account actually generalizes. - 13.05
Retire your own feature
Retire a model dependency and your own feature on deadlines you may not control, then report AI impact in the business currency that gets the next bet funded. - 13.06
Capstone
Tear an unfamiliar AI product down to the layer that fails, name the single highest-leverage change, and assemble the shipped artifacts into the portfolio that is the real credential.