AI Product Manager – Specialist

Role Overview

• Lead the development of AI-Native products
• Design, structure, and evolve solutions based on Artificial Intelligence (LLMs, RAG, autonomous agents, copilots), defining functional requirements, product architecture, quality criteria and overseeing implementation through to production, with a focus on delivering measurable value to the business and users.
• Drive strategic, impact-oriented discovery
• Identify, structure, and prioritize AI application opportunities based on real problems, assessing technical feasibility, risks, return on investment (ROI), and alignment with the product's strategic positioning.
• Evangelize and raise organizational AI maturity
• Serve as an internal reference for AI-Native applications, providing training for Product Managers, designers and technical teams, disseminating best practices, limitations, responsible-use standards and contributing to the consolidation of an AI-driven culture.
• Establish metrics, governance and quality standards for AI
• Define and monitor AI-specific indicators for AI-based solutions (accuracy, acceptance rate, impact on conversion or productivity), ensuring compliance with ethics, privacy, information security principles and LGPD.
• Enhance the Product process productivity with AI
• Apply AI tools to optimize discovery, writing and refinement of PRDs, rapid prototyping (vibe coding), creating user-simulating agents for testing, data analysis and accelerating experimentation cycles, raising the efficiency and quality standards of Product deliveries.

Requirements

• Experience in digital product management, with direct involvement in conceiving and delivering AI-Native applications into production, taking responsibility for product decisions and functional architecture.
• Experience with LLMs (GPT, Claude, Gemini or similar), RAG, autonomous agents, embeddings, AI APIs, REST API integrations and use of AI-assisted development tools.
• Ability to discuss architecture with engineering, evaluate technical trade-offs, structure clear requirements and lead discovery focused on metrics and business outcomes.
• Experience designing experiences for probabilistic systems, including managing uncertainty, feedback mechanisms, bias mitigation, safety for generative systems and compliance with LGPD.
• Ability to translate technical concepts into accessible language, run workshops and training sessions, influence stakeholders without formal authority and work collaboratively in multidisciplinary environments.

Benefits

• Meal allowance / Food voucher
• Transportation allowance
• Health and dental insurance
• Home office allowance
• Profit Sharing (PLR)
• Voucher for setup kit
• Life insurance
• Birthday day off
• Health and wellness promotion program
• Partnerships and discounts