Jobs at AB InBev

Coordinate mobile and backend development teams, facilitate agile practices, support developers' growth, and ensure quality delivery of solutions.

As a Product Manager, you will drive product strategy and delivery, lead cross-functional teams, and advocate for user solutions based on data insights.

Own product direction for ML platform capabilities across the end-to-end ML lifecycle. Set vision and roadmap, define standards and tooling, drive adoption with data science and engineering teams, deliver templates/CLIs/workflows, and improve model deployment, observability, and operational practices to enable scalable, reliable ML solutions.

Provide night-shift end-to-end production support for BEES digital applications: triage and troubleshoot incidents, document logs and diagnostics, participate in war rooms, maintain runbooks and Confluence knowledge, follow ITIL processes, mentor junior analysts, analyze incident trends, and collaborate with engineering, QA, product, and stakeholders to meet SLAs and improve reliability.

Lead large-scale, cross-functional technology programs from discovery through delivery and stabilization. Develop program plans, manage risks and dependencies, drive alignment across Product, Engineering, Data, Operations and Business teams, communicate to senior leadership, and improve program management practices to ensure predictable execution and business impact.

Lead global data product strategy for Route to Market and Contact Strategy. Manage multidisciplinary data teams, prioritize roadmap and agile delivery, build and maintain scalable data products (segmentation, visit frequency, routing, POC attributes), ensure pipeline quality and governance, define KPIs for frontline performance, and partner with senior leadership and country teams to drive commercial outcomes.

Contribute to a cross-functional team building and maintaining BEES B2B platform features. Develop and maintain backend services, tooling for testing/automation and release processes, advocate UX with product and design, enforce development best practices and quality strategy, and scale high-throughput APIs while improving observability and DevOps practices.

Lead expansion of the BEES Deliver product across markets: map country-specific delivery processes, quantify product value to Business Units, prioritize BU requirements with the product team, drive capability ideation and development, and act as subject-matter expert supporting integrations and operational best practices.

The Operations Data Analyst will perform root cause analysis, maintain data pipelines, utilize SQL for data preparation, and support Power BI dashboards, ensuring data accuracy and collaborating effectively with cross-functional teams.

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.

Manage end-to-end recruitment processes for tech roles, conduct intake meetings, craft job descriptions, screen resumes, source candidates, lead interviews, and ensure alignment in the hiring process.

The Senior Java Developer will build and scale backend systems using modern Java technologies and microservices, improving observability and performance while collaborating with cross-functional teams.

Lead a team of 8–10 data analysts and analytics engineers to build scalable data products, perform advanced analysis and ML, define schemas, ensure data governance, and partner with product, engineering, and commercial teams to drive personalization and growth.

The role involves managing UX objectives in the BEES app, collaborating with various teams, overseeing projects, documenting initiatives, and using data analysis to inform decisions.

The Product Analyst collaborates with cross-functional teams to enhance DTC solutions, focusing on operational efficiency, risk mitigation, and user experiences. Responsibilities include supporting product strategy, writing specifications, and managing initiatives from concept to launch.

Lead development of platform capabilities across B2B and DTC lines, produce technical PRDs, system diagrams, and API specs, coordinate cross-functional engineering and data teams, manage inter-service dependencies, and measure outcomes by reliability, performance, and user impact.

As an Intermediate Support Analyst, you will resolve incidents for digital applications, troubleshoot issues, mentor juniors, and analyze trends to improve service reliability while following ITIL processes.

Enhance user experience for AI-driven data products, collaborate with teams, analyze user feedback, develop training materials, and advocate for customer needs.

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.