Manage the strategic and tactical direction of the digital product, focusing on the evolution and transformation of the maintenance journey to ensure operational efficiency, scalability and an improved customer experience;
Lead continuous, structured discovery activities to identify opportunities for revenue growth, cost reduction, process automation and customer delight across the entire maintenance journey;
Design, analyze and transform end-to-end journeys using data, technology and artificial intelligence to simplify flows, personalize experiences and increase operational efficiency;
Monitor, analyze and operate the product using key metrics (KPIs, KRs and technical metrics), ensuring data-driven decisions and continuous product evolution;
Act as a key stakeholder manager, fostering strategic alignment between Business, Operations, Technology and Data teams;
Serve as a product leader, facilitating collaboration between Labs and Business teams and influencing technical and strategic product decisions;
Propose and lead structural improvements to the digital product and Product area processes, contributing to increased discipline maturity;
Support and develop other Product Owners and team members, serving as a technical, strategic and methodological reference;
Conduct strategic product planning using metric trees, roadmaps, memos, hypotheses, experiments and other artifacts that support vision, strategy and execution.
Requirements
Solid experience in digital products, working in complex, large-scale contexts with a focus on operational efficiency;
Strong command of product, business and technical metrics such as engagement, satisfaction, retention, monetization, conversion, performance, reliability and operational metrics;
Practical experience in continuous improvement and process optimization using tools such as Lean, A3, PDCA, Kaizen, refactoring and refinement;
Experience with discovery frameworks and techniques (Jobs to be Done, Opportunity Tree, Continuous Discovery, Design Thinking, prototyping, hypothesis testing);
Mastery of value-oriented prioritization techniques (RICE, MoSCoW, Kano Model, Value vs. Effort, scorecards);
Solid knowledge of UX and research, including qualitative and quantitative methods, personas, journey mapping and interaction design;
Advanced analytical capability, with knowledge of basic statistics, data analysis and metric-driven decision making;
Experience defining and tracking OKRs and KPIs, linking strategy, product and execution;
Command of structured problem-solving techniques (Answer First, experimentation, problem slicing, MECE, divide and conquer);
Desirable technical knowledge, with the ability to discuss architecture, integrations, APIs, data and application monitoring;
Use of Artificial Intelligence in routine product activities, applying AI for automation, predictive analysis, decision support and operational efficiency gains;
Strategic vision for applying AI to transform the maintenance journey, enabling simplification, personalization and scale;
Familiarity with the Microsoft Azure platform, especially data, integration and monitoring services;
Preferred degree in Technology, Engineering, Industrial Engineering or related fields.
Tech Stack
Azure
Benefits
Profit sharing
Company car
Food allowance
Meal voucher
Health insurance
Dental insurance
Wellhub (formerly Gympass)
Private pension plan
Home office allowance
Allya
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