Jobs at AB InBev

Own strategy, execution, and adoption of ML-powered computer vision products. Drive stakeholder alignment, prioritize quarterly roadmaps, define epics/HLRs, run Agile ceremonies, partner with engineering/data teams to deliver scalable APIs, ML models, and BI dashboards, and report on model performance and product adoption.

Partner with stakeholders to analyze large datasets, build and maintain Power BI dashboards and semantic models, perform exploratory analyses and root cause investigations, define KPIs, apply visualization best practices, and translate findings into clear narratives for technical and business audiences while leveraging SQL, DAX, and AI tools.

Partner with product, commercial, and engineering teams to design KPIs, analyze large datasets using SQL and Python, build Power BI semantic models and dashboards, run experiments and root-cause analyses, leverage AI tools to accelerate analytics, mentor analysts, and translate findings into actionable business recommendations.

Develop and maintain global native iOS app features using Swift and SwiftUI, ensure code quality with unit/integration tests (XCTest), integrate REST APIs, contribute scalable solutions, and promote technical excellence and process improvements within a multi-module project.

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.

Design and maintain backend services, optimize RESTful APIs, improve system observability, and support containerized applications in Agile environments.

Coordinate and lead an Android/Kotlin mobile development team as Scrum Master, guide technical and architectural decisions, implement quality and testing strategies, promote AI-assisted development, support CI/CD and API integrations, and mentor developers to deliver scalable, reliable solutions on schedule.

Build and deploy machine learning models and behavioral risk scoring to detect promotional, payment, and account abuse. Design blocking rules, run experiments/A-B tests, monitor models in production, collaborate with Engineering and Data Engineering for scalable real-time decisioning, and develop dashboards to track fraud KPIs.

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

Lead global strategy and commercialization for Club B rewards: grow points investment, sell points to marketplace sellers, align local teams, prioritize product backlog, and partner with data teams to build analyses and algorithms.

Develop and support backend Java/Spring Boot services and RESTful APIs, collaborate with cross-functional teams, participate in code reviews and testing, troubleshoot production issues, and contribute to CI/CD and containerized cloud-native deployments.

Coordinate and lead backend engineering teams to deliver scalable, reliable microservices. Facilitate agile ceremonies, remove impediments, guide technical decisions, support developer growth, and promote observability, testing, and DevOps practices.

Lead activation of BEES B2B platform across Latin America: define product scope with enterprise customers, run presentations and onboarding, coordinate engineering and project teams, manage implementations and post-launch support, identify improvements through customer discovery, and align internal stakeholders while handling aggressive timelines and multilingual communications.

Design and maintain end-to-end Power BI BI solutions, use SQL to query and prepare data, create interactive dashboards, translate findings into narratives, collaborate with international stakeholders, and deliver ad hoc analyses to solve business problems.

Monitor and analyze frontline productivity KPIs, develop and improve dashboards and reports, translate business challenges into business cases and recommendations, partner with country teams and Data & Analytics to implement global initiatives, prepare executive presentations, document processes and best practices, and identify opportunities to optimize sales processes to enhance commercial performance.

Lead and grow a team building and scaling BEES's ML platform. Own roadmap and delivery across MLOps, pipelines, registries, feature stores, training and inference infrastructure, monitoring, governance, reliability, developer experience, standards, and stakeholder alignment to enable production ML at scale.

Participate in Agile ceremonies and shift-left testing. Create and maintain automated API tests using Rest Assured and Kotlin. Execute functional, exploratory, integration, and regression tests across Android, iOS, and Web. Log and track defects in Jira/Zephyr, collaborate with developers and product managers, and improve QA processes.

Develop and maintain backend services, APIs, and microservices using Java/Kotlin and Spring Boot. Implement features, integrate systems, ensure observability, write tests, participate in code reviews, and troubleshoot production issues while collaborating with cross-functional teams.

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.

Join a cross-functional team to design, build, and maintain global front-end features, tooling, test automation, design systems, and CI/CD processes. Advocate UX, follow best practices, and ensure high-quality delivery for a large-scale B2B commerce platform.