Product Manager Specialist II – GenAI, Franchisee Backoffice

• 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 (Gen AI), LLMs and agentic tools.
• Knowledge of AI frameworks (e. g., Lang Chain) 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.
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