Product Manager

New

JobgetherGenerative AI

Listing location: Brazil; Workplace type: RemoteFull-TimeSenior

Salary not disclosed

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Job Details

Have proven experience as a Product Manager or Product Owner delivering complex, technically demanding digital products.
Have previous experience with Generative AI or agent-based solutions.
Understand software and AI architecture, including large language models (LLMs), AI agents, APIs, and the Model Context Protocol (MCP).
Have experience developing product plans covering architecture, operating costs, security, observability, and performance.
Have strong knowledge of Scrum and Kanban and experience facilitating discovery, planning, delivery, and continuous improvement.
Have experience defining and tracking business KPIs, measuring product performance, and using data to guide prioritization and optimization.
Be able to lead adoption initiatives and coordinate rollouts of products or automated workflows across business teams.
Be able to communicate complex technical concepts in clear business language and manage stakeholders.
Be able to work consistently with a dedicated client-facing squad and take ownership of product outcomes.
Experience in banking, financial services, or HR processes is a plus, particularly leave management, employee benefits, absences, or Brazilian INSS workflows.
Knowledge of LangChain, LangGraph, CrewAI, or AWS Bedrock is a plus.

Align product vision with client needs, business objectives, and technical capabilities for a dedicated squad.
Develop and maintain product plans covering architecture, costs, security, observability, and AI agent performance indicators.
Identify, define, prioritize, and refine business journeys suitable for automation and AI-powered transformation.
Embed privacy and governance practices into solution architecture to support compliance with Brazil's LGPD requirements.
Lead PDCA cycles and strategic reviews to assess AI agent effectiveness, efficiency, and reliability.
Coordinate organizational changes supporting rollout and adoption of agentic workflows.
Define, monitor, and communicate KPIs linked to business outcomes, operational efficiency, and customer and employee satisfaction.
Collaborate with executive leadership, engineering teams, and client stakeholders using Scrum and Kanban practices.
Maintain technical and product documentation to support knowledge sharing and solution ownership across teams.

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