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Lead technical strategies and manage end-to-end BEES implementations across LATAM. Act as technical owner for accounts, coordinate stakeholders, monitor product adoption and performance, manage post-go-live support, translate commercial needs into technical requirements, and maintain project documentation and governance.

Lead global brand campaign execution, media strategy, and creative development while managing agency partners and ensuring quality across communications outputs.

Lead development and maintenance of data services and pipelines, design efficient data models, improve architecture and monitoring, build ingestion/processing and provisioning processes, ensure data quality/security, design APIs, and collaborate with business teams to create data products.

The Product Manager will support cross-functional teams to enhance Sales Enablement tools, manage product initiatives, and improve productivity for customer-facing teams.

Drive market share growth for BEES through data-driven strategies and AI solutions: enrich customer data, estimate market potential, prioritize strategic customers, design scalable segmentation and commercial activations, analyze competitors, and collaborate with Product, Data, and Country teams to monitor KPIs and maximize commercial impact.

Coordinate Android/Kotlin mobile and Java backend engineering teams, lead Agile ceremonies, remove impediments, advocate for engineering in product discussions, and ensure quality delivery. The role supports software development best practices, testing strategies, continuous improvement, DevOps culture, and developer career growth through feedback and mentoring.

Analyze campaign and platform data to build dashboards, reports, and deep-dive performance analyses that inform commercial decisions. Ensure data accuracy, liaise with data teams, and support country leads, sales, and Ad Ops. Deliver custom KPIs and actionable recommendations through clear data storytelling to optimize ad revenue and campaign outcomes.

Lead technical design and implementation for BEES B2B platform: propose architectures, ensure code quality, mentor the team, improve monitoring, manage deployments, and collaborate with Solution Architects.

Lead design and delivery of end-to-end ML pipelines and platform architecture for BEES AI. Standardize model development, ensure reproducibility, implement observability for training and production, and optimize scalable, cost-effective deployments while collaborating with data, platform, and product teams.

Implement and extend ML platform capabilities for training and inference; develop model development workflows; build observability for models; optimize deployments for cost and SLA; troubleshoot pipelines and share solutions.