Product Manager Specialist II – GenAI, Franchisee Backoffice

Darum lohnt es sich

• Define Product Vision and Strategy: Build and communicate the medium- and long-term vision, connecting the technical roadmap directly to Grupo Boticário's (GB) strategic objectives. • Stakeholder Management: Act as a strategic partner to Directors and Senior Managers, leading negotiations and aligning high-level expectations. • Architecture of Complex Solutions: Lead the definition of solutions for ambiguous, systemic business problems, ensuring scalability, integration with other Value Streams and technical robustness. • Value-based Prioritization (ROI): Apply advanced prioritization frameworks to make difficult trade-off decisions, defending the roadmap based on financial return and business impact. • Culture and Mentorship: Raise the team's technical and behavioral standards by mentoring other PMs, promoting product best practices and structuring discovery and delivery processes. • Leadership in Planning (PI Planning): Lead the development of OKR cycles and PI Planning strategy, ensuring integration and dependencies across multiple teams and tribes. • Growth and Lifecycle Strategy: Look beyond features, designing strategies to increase adoption, retention and the product’s impact across the franchisee/reseller lifecycle.

Requirements • Seniority in Product Management: Solid experience as a Senior Product Manager, leading products with complex business rules (e.g., products that deliver diagnostics and insights (AI), calculation engines, financial systems, commissions or targets). • Stakeholder Management: Proven track record navigating political environments, with the ability to negotiate trade-offs with directorates and executive areas, influencing decision‑making without relying on hierarchy. • Systemic Vision and Architecture: Ability to abstract complex business problems and understand (at a high level) the technical implications of backend and systemic integrations required for the solution to have a minimal viable structure. • Business Strategy and Metrics: Experience defining KPIs that impact the P&L (revenue, efficiency, costs). • Solving Ambiguous Problems: Comfortable working in uncertainty, structuring chaos and turning abstract problems into viable, organized roadmaps. • Experience with products that involve system integrations and building digital solutions from scratch, able to abstract business problems and flows simply and deliver efficient, intelligent solutions with the team. • Prior experience or deep knowledge of Generative Artificial Intelligence (GenAI), LLMs and agentic tools. • Knowledge of AI frameworks (e.g., LangChain) and understanding of how language models operate (for technical management purposes, not necessarily hands‑on). • Hands‑on with data: autonomy to analyze scenarios and make decisions based on indicators. • Experience with data engineering, data science and/or analytics products is a plus. • Experience in high‑growth environments is a plus. • Active participation in the technology and AI community (attendance at events, forums, etc.) is a plus.