
51 - 200 employees
Founded 2014
🤖 Artificial Intelligence
💼 Consulting
📚 Education
💰 Seed on 2020-12
Artificial Intelligence • Consulting • Education
Distrito is a Brazil-based enterprise focused on end-to-end AI transformation and adoption. It offers AI strategy and governance, executive and technical AI education (Mastering AI for Business / Tech), and implementation services through an AI Factory and AI Squads that build custom, scalable solutions such as predictive models and autonomous agents. Distrito also runs an AI ecosystem (GenAI Lab, Plataforma ÍON), publishes reports and runs events, and operates a physical AI Transformation Hub in São Paulo. The company serves large corporations and startups across sectors (examples in consumer goods, healthcare, infrastructure/utilities and insurance) and emphasizes governance, data engineering, and measurable outcomes; it reports 80+ implemented AI projects and 3k professionals trained.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2014
🤖 Artificial Intelligence
💼 Consulting
📚 Education
💰 Seed on 2020-12
Artificial Intelligence • Consulting • Education
Distrito is a Brazil-based enterprise focused on end-to-end AI transformation and adoption. It offers AI strategy and governance, executive and technical AI education (Mastering AI for Business / Tech), and implementation services through an AI Factory and AI Squads that build custom, scalable solutions such as predictive models and autonomous agents. Distrito also runs an AI ecosystem (GenAI Lab, Plataforma ÍON), publishes reports and runs events, and operates a physical AI Transformation Hub in São Paulo. The company serves large corporations and startups across sectors (examples in consumer goods, healthcare, infrastructure/utilities and insurance) and emphasizes governance, data engineering, and measurable outcomes; it reports 80+ implemented AI projects and 3k professionals trained.
• Lead discovery with the client: map real pain points, validate business hypotheses, and determine 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 executives to the squad's data engineer. • Build and prioritize the backlog, translating business requirements into agile tasks (PBIs) that the engineering team can execute, with well-defined scope. • Ensure operational rhythm: run dailies, sprint reviews, demos, and strategic checkpoints with clients consistently, protecting the squad from external interruptions. • Act as guardian of scope and risks, identifying deviations early and escalating clearly when necessary. • Track impact metrics of delivered solutions and produce status reports that demonstrate value to strategic stakeholders. • Organize the project's knowledge base — wikis, boards, documentation and artifacts — ensuring context is always accessible and well-structured. • Participate actively in the post-MVP cycle, supporting knowledge transfer to the client and the continuous evolution of the solution.
• Proven experience in digital product management — product vision, scoping, backlog, roadmap, and collaboration with cross-functional teams. • End-to-end experience (discovery to delivery). • Hands-on knowledge of artificial intelligence: LLMs, AI agents, machine learning, NLP, RAG. • No need to code, but must 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 diverse audiences: client's C-level, engineers, data scientists and business teams. • The ability to calibrate language appropriately with different audiences is what separates a good PM from an excellent one. • Results-oriented 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). • Comfortable managing documentation and creating organized knowledge bases — taxonomy, wikis, visual frameworks.
• Meal allowance and/or grocery voucher of BRL 950.00 per month on an iFood card; • SulAmérica health insurance (100% employer-paid); • MetLife dental plan; • Pet health plan; • Life insurance; • TotalPass and Wellhub for fitness activities anytime, anywhere; • Birthday Day Off to enjoy on your birthday however you like; • Partnership with Sesc; • Partnership with OnHappy (discounts on hotels and travel); • Partnerships with educational institutions; • Childcare reimbursement; • Work equipment provided (may seem obvious, but we think it's important to emphasize); • Culture of feedback and development; • Dynamic environment with great growth opportunities; • Payroll-deductible loans with competitive low interest rates; • Variable compensation in recognition of performance and cultural alignment.
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