Product Manager Specialist II – GenAI, Franchisee Backoffice

Das ist der Job

Business Strategy and Metrics: Experience defining KPIs that impact the P&L (revenue, efficiency, costs).

Darum lohnt es sich

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.

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.

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.

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.

Solving Ambiguous Problems: Comfortable working in uncertainty, structuring chaos and turning abstract problems into viable, organized roadmaps. 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. #J-18808-Ljbffr