Product Manager - Fluente em Espanhol e em Inglês

Distrito

About The Position

O Distrito develops custom artificial intelligence solutions for large companies, from use case definition to production deployment. The AI Factory is the practice that turns this ambition into reality, with multidisciplinary squads focused on product, data, and engineering. The Product Manager in this team is the central figure connecting these two ends: deeply understanding the client's business problem and ensuring the delivered solution generates real, measurable value. This is not a purely technical nor purely management role – it's the intersection of both. A hybrid role by nature: you will act with the business vision of a PM, the delivery cadence of a PO, and the risk awareness of a project manager. The balance between these three modes defines excellence in this function.

Requirements

Solid experience in digital product management – product vision, scope, backlog, roadmap, and collaboration with cross-functional teams.
End-to-end experience (discovery to delivery).
Practical knowledge of artificial intelligence: LLMs, AI agents, machine learning, NLP, RAG. You don't need to code, but you need to understand enough to have productive technical conversations and assess feasibility.
Analytical skills to collect, interpret, and present data – extracting insights that guide decisions and prove the value of the delivered solution.
Clear and persuasive communication with different audiences: client C-Level, engineers, data scientists, and business teams. Knowing how to equalize language is what separates a good PM from an excellent one.
Results orientation with a sense of urgency, ability to prioritize under pressure, and focus on delivering solutions that truly work in the client's context.
Familiarity with agile methodologies (Scrum, Kanban) and product management tools (Jira, Confluence, Notion, or similar).
Ease in managing documentation and creating organized knowledge bases – taxonomy, wikis, visual frameworks. Those who underestimate this point don't stay here long.
Fluency in Spanish and English.

Responsibilities

Lead client discovery: map real pain points, validate business hypotheses, and define if – and how – artificial intelligence is the best solution for the problem.
Define and communicate the product vision clearly to all stakeholders – from the client's board to the squad's data engineer.
Build and prioritize the backlog, translating business requirements into agile tasks (PBIs) executable by the engineering team, with well-defined scope.
Ensure operational rhythm: conduct dailies, sprint reviews, demos, and strategic checkpoints with clients consistently, protecting the squad from external interference.
Act as the guardian of scope and risks, identifying deviations early and escalating clearly when necessary.
Monitor impact metrics of delivered solutions and produce status reports that demonstrate value to strategic stakeholders.
Organize the project knowledge base – wikis, boards, documentation, and artifacts – ensuring context is always accessible and well-structured.
Actively participate in the post-MVP cycle, supporting knowledge transfer to the client and continuous solution evolution.