Product Manager
Quick Summary
Lead PDCA (Plan-Do-Check-Act) cycles and strategic reviews to evaluate the effectiveness, efficiency, and reliability of AI agents.
Join a technology-driven environment where product strategy meets the transformative potential of Generative AI and agentic solutions. In this senior role, you will bridge business objectives and engineering execution to deliver intelligent, secure, and scalable digital experiences. You will lead a dedicated cross-functional squad focused on automating complex business journeys and creating measurable value for clients. Combining product leadership with technical understanding, you will shape roadmaps, prioritize opportunities, and oversee the performance of AI-powered solutions. You will also champion data privacy, responsible AI governance, and continuous improvement throughout the product lifecycle. Working closely with engineering teams, client stakeholders, and executive leadership, you will turn emerging technologies into practical business outcomes.
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Product Strategy and Leadership: Serve as the product and strategic reference for a dedicated squad, aligning product vision with client needs, business objectives, and technical capabilities.
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Roadmap and Planning: Develop and maintain integrated product plans covering architecture, costs, security, observability, and AI agent performance indicators.
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Backlog Management: Identify, define, prioritize, and continuously refine business journeys suitable for automation and AI-powered transformation.
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AI Governance and Data Privacy: Ensure compliance with Brazil's LGPD data protection requirements by embedding privacy and governance practices into the solution architecture, including data minimization, access controls, and anonymization in observability systems.
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Performance and Continuous Improvement: Lead PDCA (Plan-Do-Check-Act) cycles and strategic reviews to evaluate the effectiveness, efficiency, and reliability of AI agents.
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Change Management: Coordinate the organizational changes required for successful rollout and adoption of new agentic workflows among users and relevant business teams.
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Business Impact and KPIs: Define, monitor, and communicate performance indicators linked to business outcomes, operational efficiency, and customer and employee satisfaction.
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Stakeholder Management: Collaborate with executive leadership, engineering teams, and client stakeholders through Agile practices, including Scrum and Kanban, to communicate progress, risks, dependencies, and priorities.
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Documentation and Knowledge Transfer: Maintain clear technical and product documentation, ensuring continuity, knowledge sharing, and sustainable solution ownership across teams.
Requirements
~2 min read-
Product Management Experience: Proven experience as a Product Manager or Product Owner delivering complex, technically demanding digital products.
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Generative and Agentic AI: Previous experience with Generative AI or agent-based solutions, ideally working closely with engineering teams to translate technical capabilities into product outcomes.
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Technical Understanding: Ability to understand software and AI architecture, including large language models (LLMs), AI agents, and integrations using APIs and the Model Context Protocol (MCP).
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Product Architecture and Planning: Experience developing integrated product plans that address architecture, operating costs, security, observability, and performance.
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Agile Methodologies: Strong knowledge of Scrum and Kanban, with experience facilitating discovery, planning, delivery, and continuous improvement activities.
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Data-Driven Decision-Making: Experience defining and tracking business KPIs, measuring product performance, and using data to guide prioritization and optimization.
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Change Management: Ability to lead adoption initiatives and coordinate the rollout of new products or automated workflows across business teams.
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Executive Communication: Excellent communication and stakeholder management skills, including the ability to translate complex technical concepts into clear business language.
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Collaborative Working Style: Ability to work closely and consistently with a dedicated client-facing squad, taking ownership of product outcomes in a dynamic environment.
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Experience in banking, financial services, or human resources processes, particularly leave management, employee benefits, absences, or Brazilian social security (INSS) workflows.
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Practical knowledge of AI agent orchestration frameworks such as LangChain, LangGraph, or CrewAI, as well as AWS Bedrock.
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Experience integrating enterprise HR systems and corporate technology ecosystems.
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Familiarity with performance dashboards, AI monitoring, and observability tools.
Nice to have:
What We Offer
~2 min readLocation & Eligibility
About this job
- Who can apply
- Brazil
- Posted
- Today
Listing Details
- Posted
- October 28, 2026
- First seen
- October 28, 2026
- Last seen
- October 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 62%
- Scored at
- October 28, 2026
Signal breakdown
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