Jobs at AB InBev

Lead product development for BEES Fintech Core, defining and prioritizing backend services and APIs that enable payments. Partner with engineering and architects to translate requirements, align stakeholders, monitor metrics, and support delivery of scalable payment integrations across systems.

Develop, maintain, and enhance backend services, APIs, and microservices using Java/Kotlin and Spring Boot. Build and consume RESTful APIs, integrate with databases and messaging systems, ensure observability, write tests, participate in code reviews, troubleshoot production issues, and collaborate with cross-functional teams to deliver scalable, reliable solutions.

The role involves overseeing the global NPS program, driving customer experience improvements, managing a team, and leveraging data analytics and AI solutions to enhance customer satisfaction.

The Global Manager, Growth & Planning will oversee strategic planning, market engagement, and commercial projects to drive growth and enhance business performance.

The consultant drives financial and operational transformation using data analytics to enhance business outcomes, partnering with various leaders for effective change management.

Support discovery, definition, and delivery of product initiatives. Collaborate with Engineering, Design, Data, and stakeholders to gather insights, define requirements, manage backlogs, monitor performance, and contribute to roadmaps and continuous improvement.

Develop and deploy ML and optimization solutions for logistics planning, forecasting, and operational decision-making; build production-grade pipelines; run experiments and monitoring; collaborate with engineers, product, and operations to improve delivery reliability and efficiency.

Build and maintain Power BI dashboards and KPIs, perform advanced SQL analyses, monitor data quality, collaborate with product and data engineering, support metric standardization and CI/CD for BI, and deliver ad hoc analyses to inform business decisions.

The role involves designing business intelligence solutions in Power BI, utilizing SQL and Python for data analysis, and applying best practices in data visualization.

The Product Strategy Specialist develops product strategy, prioritizes product backlog, collaborates with teams, analyzes data, and drives long-term growth and support for product initiatives.

Develop data-driven solutions for credit risk and underwriting, focusing on machine learning models and production infrastructure while collaborating with cross-functional teams.

The Data Engineer will implement ETL/ELT solutions, design data pipelines, ensure data security, and optimize data processing systems. Responsibilities include data transformation and compliance collaboration.

Lead end-to-end delivery of complex technology projects: define scope, plans, milestones, manage risks and dependencies, drive cross-functional alignment, communicate with senior leadership, and ensure predictable, high-quality outcomes using Agile/hybrid methods.

Design, develop, and maintain scalable Java backend services and RESTful APIs within a microservices architecture. Improve observability, CI/CD pipelines, and containerized deployments (Docker, Kubernetes). Collaborate with cross-functional teams on architecture, testing, and cloud-native deployments to deliver reliable, high-throughput distributed systems.

Partner with Product, Technology, and CX teams to analyze customer support journeys, identify automation opportunities, build data-driven business cases, define requirements, measure KPIs/OKRs, and support BEES Care strategic roadmap and AI/automation initiatives to improve service quality and scalability.

Design, implement, review, and maintain frontend features using React and TypeScript. Ensure code quality via reviews, collaborate in Agile/Scrum, refine technical requirements, support scaling and deployment, mentor peers, and adopt architecture and DevOps practices to deliver high-quality B2B commerce solutions.

The Global Integrated Social Lead manages the brand's social media strategy, ensuring effective cross-functional collaboration and delivering high-quality social content aligned with brand objectives.

The Data Product Manager will lead AI-powered computer vision initiatives, collaborating with global teams, managing product planning, and ensuring successful delivery and adoption across markets.

Lead and deliver partner integrations between external ERPs and the BEES marketplace across LATAM. Design, implement, test, and maintain API-based integrations, troubleshoot with tools like Postman, liaise with partners and stakeholders, and manage a technical team to ensure scalable, high-quality data exchange and system stability.

Manage people-related financial KPIs and team budgets, extract and analyze data, maintain data quality and masterdata, produce stakeholder reports and Power BI visualizations, automate processes using AI tools, and ensure timely delivery of backlog tasks.