• 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.

• Define and execute the marketing technology roadmap to support global campaigns, personalization, and lead management across digital channels. • Oversee the management and integration of web, marketing automation, customer data, and content management platforms. • Lead analytics strategy to measure performance, improve attribution, and drive actionable insights that optimize marketing ROI. • Partner with marketing, IT, data, and sales teams to ensure technology aligns with business objectives and enhances customer experiences. • Identify opportunities to leverage AI and automation to scale content delivery, optimize workflows, and enhance audience targeting. • Ensure adherence to global data privacy and consent regulations (GDPR, CCPA, ePrivacy). • Manage vendor relationships, contracts, and managed service providers (MSPs) to ensure value delivery and operational excellence. • Lead, mentor, and develop a team of marketing technologists, analysts, and platform administrators to build best-in-class capabilities. • Oversee technology budgets and ensure efficient allocation of resources.