Dialog - Comunicação Interna

• Lead the design of strategic product features with autonomy to propose, challenge, and define direction • Work side by side with the PO and developers on complex problems, contributing from definition through handoff • Structure and advance the use of AI in the product upstream: assisted prototyping (v0, Lovable, Figma Make, Cursor, Replit), generation of variations for testing, accelerating discovery • Deliver navigable, testable prototypes in short cycles, ready for direct implementation by the tech team • Lead the evolution of our Design System, bringing UX and UI rigor • Act as a development partner to a PO in training, helping unlock strategic and architectural thinking • Provide visibility and narrative on the impact of AI in our product process

• Manage sales opportunities within the sales pipeline • Deliver online product demonstrations to leads • Identify and qualify business opportunities to ensure sales targets are met • Tailor messaging and approach to the profile of each lead and industry segment • Identify leads' pain points and present the most suitable solutions • Prepare commercial proposals that clearly convey the value of the investment • Accurately maintain the CRM to ensure visibility of sales potential • Develop strategies to improve processes and increase results • Influence internal teams and external partners on process and planning decisions to exceed targets

• Be responsible for the quality, consistency, and governance of the company's data • Design, build, and maintain analytical models in the Data Warehouse • Develop and evolve data pipelines within modern data architectures • Work with Data Lake and Data Warehouse in an integrated manner • Build scalable, high-performance ETL and ELT processes • Collaborate with the Engineering team to define events, schemas, and data contracts • Support the AI team with reliable data for training, analysis, and experimentation • Ensure data is ready for consumption by BI, Product, and AI teams • Contribute to defining the company's data architecture and best practices