Product Manager at Marisa.Care leading AI initiatives for front office solutions. Ensuring quality and performance metrics while overseeing project execution and team dynamics.
Responsibilities
Lead a portfolio of AI-powered agents and automations applied to the front office (voice, text and WhatsApp), ensuring scalability, quality, governance and ROI (return on investment), with assisted operation when necessary (HITL – Human in the Loop: human handoff).
Formal team leadership: people management, goals, rituals and performance; team formation and maturity development.
Portfolio management and prioritization: translate business objectives into AI initiatives (impact on revenue, efficiency, risk), defining trade-offs and sequencing.
End-to-end execution of AI projects: discovery → solution design → delivery → rollout → continuous improvement; coordination with Engineering, Data/AI, Security/Privacy and Operations.
Quality and risk governance in AI: content and automation standards, handoff criteria, quality controls, audit, security and compliance.
Performance and metrics: instrumentation and KPI management (e.g.: effective automation, handoff rate, resolution rate, conversion, satisfaction, efficiency gains, cost per contact).
Executive communications: COMEX-ready narratives (COMEX: Executive Committee) including business case, ROI, risks, dependencies and rollout plan.
Requirements
Solid experience in applied AI projects (especially communication and automation AI): conversational agents, intelligent automations, decision systems, personalization, etc.
Experience in high-scale, results-oriented environments (e.g., fintechs, marketplaces, digital products, digital banks), with the ability to operate under ambiguity and at high cadence.
Strong business and management foundation: prioritization, governance design, metrics-driven management, building business cases and decision-making.
Ability to engage with technical teams (Engineering and Data/AI) without requiring a hands-on technical profile.
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