Product Development:Define and validate “Minimum Viable Assistant” (MVA) concepts through user research, A/B tests, and prompt-flow analytics; Partner with UX, MLOps, and Security to ship iterative product increments that hit adoption and engagement targets
Backlog Management:Maintain a single, prioritized backlog covering SaaS releases and feature flags (ChatGPT Enterprise, Microsoft Copilot, Gurobi Cloud) and In-house assistant epics (knowledge grounding, workflow actions, guardrails)
Partners Communication:Run continuous-discovery sessions with business functions to surface high-value assistant use-cases; Act as escalation point for priority conflicts across multiple portfolios
Scalability & Global Implementation:Create rollout playbooks for multi-region, multi-language deployment compliant with GDPR, EU AI Act, and local data-residency laws
Leadership Advisory:Advise VP/SVP stakeholders on build-vs-buy economics, license tiering, and responsible-AI posture; Mentor senior product managers on AI-assistant best practices and outcome-driven roadmap design
#LI - KK1 #FGB #themuse