• Define and own the enterprise product roadmap, translating partner needs, revenue goals, and learner outcomes into clear priorities • Run structured discovery with enterprise partners and internal stakeholders; define success metrics and translate them into effective product requirements, prototypes, and shipped features • Design experiments to validate product bets, using qualitative signals from partners and quantitative data to make decisions and change course quickly • Serve as the connective tissue between Earned Revenue, Curriculum, and Engineering, aligning on priorities, surfacing trade-offs, and unblocking progress • Use AI actively in your product workflow, striving for continual improvement in quality and productivity • Track and communicate progress to partners and internal teams, building the reporting rhythms that keep everyone aligned and informed