- Lead discovery and delivery across multiple product opportunities, from early research through release and user adoption.
- Build business cases, prioritize work, define problems and success criteria, and sequence work into releasable phases.
- Talk regularly with instructors and students to identify demand and track customer, market, and competitor shifts.
- Build working prototypes with AI tools to test ideas before committing engineering time.
- Evaluate AI features for inconsistent, generic, or contextually incorrect output and explain how to improve them.
- Design experiments with clear hypotheses, success and stop criteria, and plans for interpreting results.
- Define outcome metrics and measure impact after release; share findings with the team.
- Align engineering, design, and business stakeholders on product goals and project rationale.
- Partner with sales, customer success, and marketing to communicate product releases and track adoption.
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