Product Manager driving growth for Motorized Axial Fans in Data Centers and HVAC. Collaborating across functions to develop product strategies and lead new product introductions.
About the role
- 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.
Job title
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