• Structure an editorial calendar aligned with the funnel, product, and goals. • Distribute content across awareness, authority, and conversion stages. • Create strategic content series (e.g., Netflix-style formats). • Identify trending topics and timing opportunities. • Ensure narrative consistency and a premium positioning. • Develop a plan to grow qualified followers. • Work on retention, brand perception, and authority. • Integrate organic content with strategic paid promotion. • Monitor weekly growth and adjust the strategy accordingly. • Write strategic content for LinkedIn and Instagram. • Develop scripts for videos, webinars, and campaigns. • Create copy for pages and funnels/flows. • Focus on retention, clarity, and conversion. • Design visual assets for social media. • Edit short-form videos (Reels, Shorts). • Organize and publish content. • Ensure visual and textual standards are aligned with the brand. • Monitor retention and engagement metrics. • Adjust the content plan based on performance. • Collaborate with the traffic/ads team for strategic boosting.

• Market intelligence and qualification of prospective clients (pre-sales focus) • Strategic research: Use intelligence platforms (pre-contracted) to conduct active research and extract lists of companies (leads) that closely align with the company's strategic vision and Ideal Customer Profile (ICP). • CRM data management: Enter, clean, and enrich extracted data in the CRM system. Ensure data integrity and correct lead segmentation so SDRs can begin prospecting. • SDR support: Ensure the Sales Development Representatives' pipeline is continuously fed with high-quality data and an adequate volume of leads. • Analysis and reporting: Extract, consolidate, and present key reports and metrics on prospecting performance, including contacts made, data inputs, completed tasks, and initial qualification results. • Support for tactical sales management. • Meeting participation: Actively contribute to weekly Sales meetings by providing operational insights, presenting pipeline reports, and proposing improvements to prospecting and data-handling processes.

• Lead the assessment, design and implementation of scalable, secure data solutions aligned with business needs. • Conduct technical and business interviews with stakeholders to understand challenges, requirements and opportunities. • Facilitate brainstorming sessions to align data solutions with strategic objectives. • Assess existing environments (on-premises or cloud), identifying technical and governance gaps. • Design and recommend data solutions on AWS (Data Lakes, Redshift, Glue, etc.). • Deploy and configure data environments on AWS, ensuring performance, security, and cost-effectiveness. • Define data models, ETL/ELT pipelines, and integration strategies. • Act as a bridge between technical and business teams, translating requirements into viable solutions. • Document architectures, technical decisions, and evolution roadmaps. • Guide teams on data engineering best practices, governance, and compliance (GDPR, LGPD, etc.).

• Guide sales opportunities through the entire sales funnel with a focus on conversion and revenue generation; • Conduct consultative meetings with prospective clients, identifying needs and presenting solutions tailored to their context; • Prepare commercial proposals and manage mid- to high-value negotiations; • Manage and update the sales pipeline, ensuring correct use of the CRM and monitoring opportunities; • Track sales performance indicators and propose actions to optimize results; • Act strategically to build long-term relationships with clients and prospects; • Share market feedback and insights, contributing to continuous improvement of sales processes and the customer experience; • Identify growth and expansion opportunities within the market.