Pros
WLB varies per team - not really a hustle culture but there are many solid teams where PMs rarely work outside of 9-5
Lots of focus on enabling Product Management across the company, still a long way from FAANG/big tech but leagues above other banks and financial services companies
Data and inference/model teams are best in class in fintech
Cons
Performance management sucks. Aside from becoming a PIP factory (although this doesn't impact PMs as much as engineers), the near-constant slog of formal reviews + feedback gathering + calibrations detracts from real work.
Capital One does traditional ML at scale quite well but GenAI is lagging behind. You'll find very seasoned professionals parroting "AI wins" and mass-sharing AI slop, coupled with 0 top-down direction on associate adoption or product integration. At this point in time, it serves as another distraction from meaningful discovery and delivery for PMs.