+A Educação

• Develop and integrate LLM-based solutions using platforms such as OpenAI, Microsoft Azure AI, and AWS AI/ML; • Build, orchestrate, and maintain intelligent agents and multi-agent systems applied to various business domains; • Design and implement automation flows and AI pipelines using TypeScript and JavaScript; • Apply prompt engineering techniques to optimize the performance and reliability of language models in production; • Integrate external tools and services via protocols like MCP (Model Context Protocol) and REST APIs; • Collaborate with product, data, and leadership teams to identify AI opportunities and translate business objectives into technical solutions; • Ensure the quality, traceability, and security of implemented AI solutions, following software engineering best practices; • Stay up to date with trends in the AI ecosystem (models, frameworks, tools) and propose continuous improvements to existing solutions.

• Maintain and develop ERP (Protheus - TOTVS) functionalities • Optimize processes and respond to business area requests • Develop, customize and optimize routines in Protheus using ADVPL and TL++ • Perform integrations with APIs and external services • Analyze and fix bugs, ensuring stability and performance of solutions • Support implementation and improvements of Backoffice modules (Purchasing, Billing, Finance, Accounting and Tax) • Conduct requirements analysis with business areas and propose appropriate technical solutions • Monitor ERP evolution projects, including updates and migrations • Provide second-level support for complex incidents.

• Configure and set up courses, seats/slots and activities on the LMS platform; • Perform periodic reviews of enrollments and finalize grades; • Support financial processes related to billing, refunds and reconciliations; • Manage operational tickets and follow up on special cases with internal teams; • Ensure the smooth operation of academic and operational workflows in virtual learning environments; • Identify and drive continuous improvement of operational processes; • Maintain constant interface with multidisciplinary teams, including IT, Academic, Finance and Customer Service.

• Guide customers on best practices for using the solutions, focusing on quick value realization and efficient adoption of the platform; • Conduct technical and functional training to standardize solution use across Higher Education Institutions (HEIs); • Monitor usage and contracted consumption (FTE), acting proactively on deviations and risks of low engagement; • Execute Customer Success playbooks, making proactive outreach to customers that present risks or strategic issues; • Diagnose root causes of risk, such as low usage, misalignment of value, or operational friction, and define clear action plans; • Work in a coordinated manner on at-risk accounts, prioritizing impact and scale; • Understand the context and business rules of HEIs to guide correct use of the solution; • Serve as a point of support for customer ideas and needs, evaluating feasibility and providing direction; • Track critical tickets with the support team, ensuring progress and proper resolution; • Communicate product roadmap and relevant improvements, aligning expectations with customers; • Lead workshops and group sessions to align objectives when applicable; • Support the support team in complex cases that require deeper customer context.

• Conduct investment analyses (M&A and organic expansion). • Ensure analytical rigor in evaluating growth opportunities. • Build and maintain robust financial models (DCF, multiples, simplified LBO). • Develop sensitivity and stress-test scenarios to support investment recommendations. • Prepare consulting-quality supporting materials. • Coordinate financial, tax and operational due diligence workstreams. • Structure checklists and virtual data rooms. • Actively participate in post-acquisition integration planning. • Conduct economic and financial feasibility studies for new markets and products.

• Structure and evolve the company's data warehouse, data lake, and lakehouse architecture; • Create and optimize ETL/ELT flows for data ingestion and transformation; • Develop and maintain robust, scalable data pipelines; • Perform database modeling following design patterns and dimensional modeling (Kimball); • Configure and maintain data infrastructure on AWS; • Support and improve the existing infrastructure; • Orchestrate data workflows using dbt and Prefect; • Work with data warehouse platforms such as PostgreSQL, Redshift, and Snowflake; • Ensure the availability, performance, and reliability of data systems; • Establish and enforce data governance across the company; • Implement data engineering best practices and data quality measures; • Provide support to governance and back-office teams; • Collaborate with marketing, sales, technology, and other business areas; • Develop automations, dashboards, and metrics that meet business needs; • Translate business rules into technical data solutions.

• Develop advertising copy for various channels and formats, such as media assets, email marketing, websites, landing pages, rich content (e.g., ebooks, whitepapers) and printed materials. • Craft headlines, taglines/calls-to-action and supporting copy with a focus on persuasion, clarity, conciseness and creative impact. • Adapt language and tone of voice according to the channel, audience and communication strategy. • Support the marketing team in creating and reviewing content aligned with brand identity and business objectives. • Analyze briefs and propose creative solutions that drive products, campaigns and company goals.

• Identify improvement opportunities based on business metrics; • Define and structure KPIs and monitoring dashboards; • Translate stakeholder needs into practical, actionable data queries; • Extract, transform, and analyze data and information to provide business insights; • Data modeling in the data warehouse.

• Desenvolver e evoluir a estratégia de jornada do usuário, com foco em retenção e engajamento; • Criar e estruturar estratégias de comunicação com o usuário final, alinhadas aos objetivos do negócio; • Acompanhar e analisar métricas de retenção e desempenho, identificando oportunidades de melhoria e gerando insights estratégicos; • Apoiar o time de Produto na viabilização de melhorias, em parceria com o time de Dados, na criação e no refinamento de segmentações de usuários; • Atuar de forma integrada com áreas internas, garantindo alinhamento estratégico e suporte às operações.

• Assist in creating and adapting graphic assets for various channels, such as campaigns, emails, social media, and others; • Support mid-level and senior designers in conceptualizing and executing visual projects; • Help maintain the company's visual identity; • Actively participate in meetings and brainstorming sessions, contributing ideas and insights; • Assist in organizing and updating the visual assets library, including icons, images, and templates.