• Lead the design, development, and integration of AI-powered features • Architect scalable, cloud-native solutions on GCP and AWS • Actively leverage AI coding assistants, LLMs, and prompt engineering techniques • Drive responsible AI practices across the team • Collaborate with product management, data science stakeholders, and QA • Define and enforce software engineering standards within a CI/CD environment • Lead code reviews, architecture discussions, and technical planning sessions • Mentor junior and mid-level engineers • Stay current on emerging AI frameworks and capabilities

• Design and implement software features and enhancements within the AutoQuote application • Build and maintain data processing workflows using Prefect, GCP services, and REST APIs • Write clean, well-tested code that adheres to team standards and passes CI/CD quality gates • Actively use AI tools to accelerate development, generate and validate code, and solve complex engineering problems • Participate in architecture and design reviews • Collaborate with senior engineers, product management, and QA to translate requirements into robust, testable implementations • Lead code reviews for junior engineers and provide constructive technical feedback • Investigate and resolve production bugs; contribute to improving system reliability and operational health • Stay current on AI frameworks, cloud-native tooling, and engineering best practices

• Realizar consultas complexas em bancos de dados utilizando SQL para extração, manipulação e modelagem de dados; • Construir e manter transformações de dados no Dataform, seguindo as regras de negócio definidas pela liderança da área; • Construir, manter e padronizar dashboards e relatórios que facilitem a tomada de decisão; • Apoiar no monitoramento de KPIs e indicadores de performance da empresa; • Padronizar processos, nomenclaturas e boas práticas de dados dentro da equipe; • Realizar manutenção pontual de rotinas de extração de dados (ETL) já existentes, e eventual criação de novas extrações via API quando necessário.

• Drives actionable insights for optimization to channel managers. • Supports end-to-end marketing performance measurement across channels and funnel stages, including reach, engagement, leads, pipeline, revenue, and ROI. • Builds and maintains executive-ready dashboards and scorecards with consistent KPI definitions, filters, and drill paths. • Establishes and maintains measurement frameworks, including KPI dictionaries, data sources, calculation logic, reporting cadence, and benchmarks. • Partners with multi-channel marketing teams to support lead lifecycle tracking, source attribution, and influence reporting. • Owns measurement-readiness standards, including UTM governance, tagging requirements, event tracking, and QA checklists. • Performs data QA and reconciliation across platforms, identifies anomalies, and drives root-cause resolution. • Creates repeatable reporting packs for weekly, monthly, launch, and business review rhythms.