AB InBev | Growth Group
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AI Engineer - Bees Personalization
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About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
About the job
We are looking for a highly skilled AI Engineer to join our team and lead the design and implementation of complex AI agents capable of reasoning, planning, and collaborating with humans and other systems. This role goes beyond building simple chatbots: you will be responsible for creating multi-agent architectures, integrating advanced LLMs, and ensuring robustness, scalability, and security in production environments.
You will work closely with product managers, data engineers, and security specialists to develop agent-based systems that handle real-world complexity at scale.
What you'll do:
- Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution.
- Implement RAG (Retrieval-Augmented Generation) pipelines, using orchestration tools and frameworks (LangChain, LangGraph, Azure AI Foundry).
- Optimize model serving for low-latency, high-throughput inference using frameworks like KServe, Triton Inference Server, or Ray Serve.
- Build observability and evaluation frameworks to monitor agent reasoning, success rates, and failure cases.
- Collaborate with ML and data engineers to integrate structured and unstructured data sources into agent workflows.
- Apply security and alignment techniques (guardrails, prompt injection prevention, red-teaming) to ensure robust behavior.
- Work in a CI/CD environment (Azure DevOps, GitHub Actions, ArgoCD) for rapid iteration and reliable deployment.
- Participate in architectural decisions involving distributed systems, GPU usage, caching strategies, and memory management.
What you'll need:
- Strong proficiency in Python (for prototyping) and C++/Go (for performance-critical components).
- Proven experience with LLMs (OpenAI, Anthropic, Llama, Mistral, or similar).
- Practical experience with agent orchestration frameworks (LangChain, LangGraph, Semantic Kernel).
- Deep understanding of search and retrieval systems (vector databases like Pinecone, Weaviate, FAISS, Milvus).
- Knowledge of distributed systems and experience deploying ML models in Kubernetes/AKS/EKS/GKE environments.
- Familiarity with ONNX Runtime, TensorRT, or DeepSpeed for inference optimization.
- Experience with public clouds (Azure, AWS, or GCP) and infrastructure as code (Terraform, CloudFormation, or Bicep).
- Understanding of AI security (prompt injection, data leakage, adversarial testing).
Nice to have:
- Experience with multi-agent simulations (AutoGen, CrewAI, OpenAI Swarm).
- Background in red-teaming and offensive security for AI models.
- Knowledge of graph databases (Neo4j, ArangoDB) for agent memory and reasoning.
- Publications, research contributions, or involvement in open-source projects related to LLM or agent frameworks.
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupData Engineer | BEES Personalization
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About AB InBev
AB InBev is the leading global brewer and one of the top 5 consumer goods companies in the world. With over 500 beer brands, we are the number one or two in many of the main beer markets worldwide, including North America, Latin America, Europe, Asia, and Africa.
About ABI Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world.
About BEES:
As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year.
Responsibilities:
- Implement ETL/ELT solutions and data integration between multiple systems and data sources.
- Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.
- Collaborate with other teams to ensure data security and compliance.
- Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.
Requirements and qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
- Intermediate English;
- Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.
- Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.
- Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.
- Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.
- Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.
- Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.
- Understand and apply software design principles to data engineering projects.
- Apply data modeling techniques to design efficient and scalable data models.
- Optimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.
- Use data tools for ingestion, transformation, analysis, and visualization.
Soft Skills:
- Logical reasoning and analytical skills;
- Meeting deadlines and delivering quality work;
- Effective and transparent communication with other teams and coworkers;
- Communication and interpersonal skills to present and discuss cases with other involved areas;
- Autonomy in performing tasks;
Nice to Have:
- Develop and maintain APIs for data exchange between applications.
- Experience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.
- Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.
Benefits:
- Performance-based bonus*
- Attendance bonus*
- Private pension plan
- Meal allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsides
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
Rules applied*
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupData Product Manager - Bees Force
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About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
Role Overview
As the Smart Tasking Product Manager for ABI Markets, you will be driving the BDRs strategy behind our Smart-Tasking engine in all ABI Markets using BEES Force. You will manage the lifecycle of the markets adoption of the tool within BEES Force, ensuring that transactional and behavioral data from users and POCs are translated into actionable, high-value tasks. A critical part of your mission will be overseeing the Coins Expansion: a sophisticated rewards program that assigns value to tasks via complex data science models. You will ensure these models are properly configured and localized for diverse global markets while keeping stakeholders informed through world-class documentation and visibility tools.
Core Responsibilities
- System & Workflow Governance: Lead the Jira configuration and management for the SmartTasking pipeline across developments related to ABI Markets. You will ensure that every development, from conception to market deployment, is tracked with precision.
- Expansion: Drive the Coins Expansion initiative. This involves coordinating the roll-out of rewards models that assign value to tasks, requiring a deep understanding of how the business goals intersect with data science outputs.
- Data Visibility & Analytics: Define and lead the implementation of new dashboards, ad hoc analysis, and reporting structures. Using Databricks, SQL, you will transform raw project data into clear "visibilities" that show the health and impact of Smart Tasking across different regions.
- Market Localization & Spot Analysis: Perform "spot analysis" to identify bottlenecks or opportunities in specific markets, ensuring the Smart Tasking process is optimized for local behavioral nuances.
- Stakeholder Communication: Act as the primary bridge between the core team and BUs. You will be responsible for sharing improvements and maintaining a repository of structured, accessible documentation.
Requirements & Qualifications
- Technical Proficiency: Hands-on experience with Jira (administration/configuration), SQL, and Databricks. You should be comfortable querying data to validate project progress.
- Analytical Mindset: Ability to understand complex, data-driven products. While you aren't the data scientist, you must be able to explain how "Coins" and how the “Smart-Tasking” model work to a business partner.
- Documentation Excellence: A passion for clarity. You must be able to turn complex technical updates into structured, easy-to-digest documentation.
- Project Management Toolkit: Advanced skills in Project Management Tools for modeling and tracking, and a proven track record of managing cross-functional projects with multiple dependencies.
What a "Win" Looks Like (6 Months In)
Success in this role means you have successfully streamlined the communication loop. Your stakeholders no longer wonder "where the project stands" because your documentation is the "single source of truth." The Jira workflow is automated and efficient, and the "Coins" program has a clear, documented expansion path into new markets with full visibility on its performance.
More about the role
- Level: Manager
- Work model: On-site (São Paulo-SP)
- Hiring model: CLT
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupSenior Data Scientist Portfolio - BEES Personalization
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About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
What you will do:
- Collaborate on the design of complex analysis of datasets and the development and deployment of advanced machine learning algorithms for portfolio optimization, recommendations, personalization, improve business economics and insight discovery.
- Ensure that solutions are robust, scalable, and aligned with business objectives. Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark.
- Architect and optimize large-scale data processing workflows on cloud platforms such as Azure, Databricks, and Spark, ensuring performance and scalability. Guide to best practices in leveraging these platforms to accelerate delivery.
- Engage proactively with cross-functional teams—including data engineering, product management, and business stakeholders—to translate business needs into technical requirements and deliver impactful, end-to-end solutions. Foster an agile mindset, driving rapid iteration and continuous improvement.
Qualifications
- Bachelor’s degree in computer science, Statistics, Engineering, Mathematics, or any quantitative field; master's or PhD is strongly preferred.
- Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact.
- Experience mentoring and coaching data scientists, fostering skill development and knowledge sharing within cross-functional teams.
- Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.
- Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
- Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks.
- Good knowledge of CI/CD tools like GitHub for version control and collaboration. Familiarity with other collaboration tools is a plus.
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupSenior Data Scientist - Computer Vision
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About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
About the Role
The Senior Data Scientist will be responsible for developing and leading solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models. This role involves tackling strategic challenges, combining traditional computer vision techniques with cutting-edge scene reconstruction and generative AI, focusing on detection, classification, visual similarity, synthetic data generation, and multimodal interpretation. You will act as a technical reference within the team, guiding architectural decisions and defining the best approaches for complex visual problems. You will work in a highly collaborative, global environment, transforming visual data into robust and scalable models, ensuring automation, efficiency, and high performance across implemented pipelines. We are looking for someone with an analytical mindset, curiosity, a strong technical foundation in the mentioned areas, excellent communication skills, a collaborative spirit, and a passion for innovation and continuous learning.
What you'll do
- Define and lead the technical approach for object detection solutions (e.g., YOLO, RT-DETR, and similar architectures), applying them to real-world problems with an emphasis on performance, accuracy, and scalability.
- Define and develop image classification strategies, with experience in architectures such as EfficientNet, MobileNet, and ResNet, focusing on production readiness.
- Lead the development of Siamese networks for verification and visual similarity tasks, applying fine-tuning and optimization strategies for image comparison and visual integrity validation.
- Define and apply multimodal generative and instruction-following models such as Qwen-VL, PaliGemma, and BLIP, using fine-tuning techniques like LoRA and QLoRA, focusing on image-text alignment.
- Knowledge of scene reconstruction techniques such as NeRF or Gaussian Splatting, and hands-on experience with frameworks like Nerfstudio or similar.
- Work with large volumes of visual data, coordinating curation, annotation, and qualitative evaluation strategies to ensure diversity and quality in image datasets.
- Generate and use synthetic and 3D data as complementary sources for training and evaluating models, supporting their creation and curation to enhance model generalization and robustness.
- Automate, version, and monitor training, inference, and deployment pipelines using Python, PySpark, MLflow, GitHub Actions, Docker, and CI/CD, running on cloud infrastructure (especially Azure and Databricks).
- Mentor junior and mid-level data scientists, supporting their technical growth and ensuring quality across the team's deliverables.
- Communicate technical results and trade-offs to senior stakeholders, ensuring strategic alignment of developed solutions.
- Collaborate with data engineers, data scientists, PMs, and business stakeholders, ensuring technical alignment and strategic impact of developed solutions.
- Work in an agile, global environment, participating in Scrum/Kanban ceremonies, technical reviews, and continuous delivery and learning cycles.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields. A master's or PhD is strongly preferred.
- General and foundational knowledge in data science and statistics, including data analysis, modeling, and validation techniques.
- Strong background in Deep Learning, including mastery of Transformer architectures and advanced algorithms applied to real-world problems.
- Proven experience building and deploying models for object detection, image classification, visual information extraction, and multimodal interpretation.
- Proficiency in TensorFlow or PyTorch, with experience in model development and deployment.
- Experience with cloud computing, particularly Azure, Databricks, and Spark, for large-scale data processing.
- Expertise in Python and PySpark, plus familiarity with data manipulation and modeling libraries and frameworks.
- Knowledge of version control and collaboration tools such as GitHub, and experience with CI/CD pipelines for data and model projects.
- Understanding of automation workflows, model monitoring, and best practices for maintaining performance and robustness.
- Experience leading technical projects and guiding architectural decisions in data science or machine learning teams.
- Experience deploying models to production environments, including optimization and monitoring.
- Advanced English to operate in a global environment.
- Strong interpersonal skills, communication, teamwork, organization, autonomy, and focus on delivering high-quality results.
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupSenior Data Engineer | Bees Personalization
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About AB InBev
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About ABI Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
About BEES
As a technology cell of our organization, we have a simple goal: grow. Grow as people, as professionals, as a company. To achieve this, we use technology to create digital solutions that simplify our customers' lives, make their decisions smarter and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.
Responsibilities:
- Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES.
- Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling.
- Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products.
- Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others).
- Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.
Requirements and qualifications:
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
- Advanced English;
- Assess scalability, reliability, security, and compliance implications of data pipeline designs.
- Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
- Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis.
- Evaluate data quality processes and controls to ensure accuracy and completeness.
- Apply debugging techniques to identify and resolve cross-module issues.
- Implement monitoring, alerting, and failure handling mechanisms in architecture designs.
- Assess effectiveness of CI/CD principles and practices in automated pipelines.
- Design, develop, and maintain APIs for data exchange between applications.
- Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.
Soft Skills:
- Logical reasoning and analytical skills;
- Meeting deadlines and quality of work;
- Effective and transparent dialog with other areas and co-workers;
- Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved;
- Being independent in activities;
- Work as part of a team, promoting a good relationship with the team;
Differentials:
- Evaluate data pipeline solutions for latency, throughput and accuracy.
- Analyze data requirements and business needs to inform data modeling decisions.
- Understand the principles and assumptions of different machine learning capabilities.
- Integrate data sets with visualization tools to create insightful reports and dashboards
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupOperations Data Analyst
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About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
What you'll do:
- Root Cause Analysis on tickets after debugging and fixing.
- Maintain, and update data pipelines, ensuring accuracy, consistency, and proper structure for Vision team usage.
- Use strong SQL skills to query, validate, clean, and prepare datasets, supporting data quality and operational processes.
- Support dashboards and datasets in Power BI, ensuring data is correctly refreshed and aligned with business requirements.
- Collaborate with the Vision team to ensure data sources are up to date, structured, and properly documented.
- Follow data governance procedures, maintaining clear documentation and contributing to continuous process improvement.
What you'll need:
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar.
- Experience working with data modeling and data pipeline management.
- Advanced English (spoken and written) to effectively communicate insights with international stakeholders.
- Strong SQL skills for querying, validating, and preparing data.
- Excel advanced skills (formulas, structured data handling, validations, and organization of large spreadsheets).
- Experience with Power BI (dataset handling, simple reports, data validation).
- Detail-oriented mindset with strong commitment to data accuracy and consistency.
- Effective communication skills for interacting with partners and cross-functional teams.
- Ability to work in an operational, process-driven role with reliability and ownership.
Nice to have:
- Prior experience in data operations, data governance, or analytics support roles.
- Understanding of ETL concepts and data integration processes.
- Familiarity with the Microsoft Power Platform ecosystem.
- Basic Python skills for simple validations or data manipulation.
- Experience working with ticket management systems.
- Databricks hands on experience creating pipelines and notebooks.
More about you:
- Strong skills in crafting clear data narratives that connect insights to business strategy.
- Deep understanding of data visualization best practices, design principles, and user-centric dashboard development.
- Ability to translate complex datasets into insightful, visually compelling, and actionable reports.
- Organized and detail-oriented, with the ability to deliver high-quality work under tight timelines.
- Proactive, solution-oriented mindset with strong collaboration skills to operate effectively across cross-functional teams.
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupProduct Manager CX Specialist – Bees Personalization
Share this job
About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
About the role:
We are seeking a passionate and detail-oriented Customer Experience Specialist for Data Products to join our dynamic team. In this role, you will be responsible for enhancing the user experience of our AI-driven data products within the BEES apps ecosystem. You will work closely with cross-functional teams, including data scientists, product managers, and customer support, to ensure our AI models meet and exceed user expectations.
What you'll do:
- User Experience Enhancement: Analyze user feedback and data to identify pain points and areas for improvement in the interaction with our AI models.
- Customer Support Collaboration: Work alongside customer support teams to address user issues related to data products, providing insights and solutions to improve user satisfaction.
- Feedback Loop Management: Establish and maintain a feedback loop with users to gather insights and continuously refine AI model performance.
- Training & Documentation: Develop and deliver training materials and documentation to help users understand and effectively utilize our data products.
- Performance Monitoring: Monitor the performance of AI models in real-time, ensuring they meet quality standards and user needs.
- Cross-Functional Collaboration: Collaborate with data scientists and product managers to influence the design and functionality of AI models based on user feedback.
- Customer Advocacy: Act as the voice of the customer within the organization, advocating for user-centric improvements to our data products.
- Stakeholder Alignment & Communication: Act as a key point of contact for stakeholder alignment, both within and outside Global Headquarters, ensuring shared understanding of metrics, results, and priorities.
What you'll need:
- Good knowledge of Business Intelligence concepts, including metrics, data models, and visualization best practices.
- Good knowledge of Customer Experience concepts, including metrics, standard processes, and best practices.
- Strong analytical profile, with experience or familiarity with Databricks, data analytics environments, and programming in SQL or Python for analytical autonomy.
- Ability to work in close partnership with Product Managers and business stakeholders.
- Advanced English to collaborate with global teams.
- Excellent verbal and written communication skills, with the ability to translate data into clear business narratives.
- Strong analytical and problem-solving skills, with a proactive approach to identifying and addressing user issues.
More about you:
- Previous experience working closely with Product, Data, Commercial, or CX teams.
- Strong business or CX acumen and a data-driven decision-making mindset.
- Experience in cross-functional environments.
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupData Product Manager | Computer Vision & Machine Learning
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Location: São Paulo (on-site)
About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
We are looking for Data Product Managers to join our Computer Vision team, playing a critical role at the intersection of business, data science, and engineering. You will own the strategy, execution, and adoption of AI-powered computer vision products used across global markets.
This role requires strong product leadership, fluency in ML-driven products, and the ability to translate complex technical capabilities into business value for commercial and customer stakeholders.
What you'll do:
Drive Strategic Alignment
- Partner with global commercial stakeholders across LATAM, US, and Mexico to enable product understanding, drive adoption, and unlock new Computer Vision use cases.
- Act as a product evangelist—educating stakeholders on product capabilities, limitations, and roadmap.
- Provide regular updates to customers and internal stakeholders on product adoption, model performance, and business impact.
Plan & Prioritize
- Own quarterly product planning in collaboration with Data Scientists, Data Analysts, Data Engineers, ML Engineers and software engineers.
- Balance business visibility, technical improvements, and infrastructure evolution when defining priorities.
- Continuously assess team capacity and delivery risk to ensure plans are realistic, achievable, and aligned with broader product and business strategy.
Execute & Deliver
- Partner closely with engineering and data teams to execute the quarterly backlog and deliver high-impact Computer Vision capabilities.
- Drive delivery of:
New Computer Vision use cases
Scalable and secure APIs
State-of-the-art ML models
Comprehensive BI visualization.
- Define Epics and High-Level Requirements (HLRs), leading refinement sessions with a strong focus on:
Dashboard visibility
User experience (UX)
Model behavior and performance
- Lead Agile ceremonies, including daily stand-ups, sprint planning, reviews, and retrospectives.
- Track delivery and performance metrics, producing sprint summary reports with emphasis on:
Team productivity
Model metrics
Usage and adoption trends
Engage Stakeholders
- Maintain strong relationships with technical, commercial, and senior leadership stakeholders.
- Present quarterly roadmaps and progress updates with clarity and confidence.
- Proactively manage expectations by negotiating scope, timelines, and trade-offs across internal teams and customers.
What you'll need:
- Proven experience managing data or ML-driven products, ideally within Data Science Products.
- Strong understanding of the ML lifecycle, including data preparation, training, deployment, monitoring, and iteration.
- Ability to translate business problems into technical product requirements for ML and AI solutions.
- Exceptional written and verbal communication skills, capable of bridging business, engineering, and data science audiences.
- Fluent English and Advanced Spanish to collaborate effectively with global teams.
- Willingness to work on-site in São Paulo
More about you:
- Solid background in Product Management or Data Product Management, preferably with ML/AI products.
- Hands-on experience writing Epics, High-Level Requirements (HLRs), and technical documentation—documentation is one of your strengths.
- Foundational understanding of software architecture, including databases, APIs, and ML models.
- Experience working in Agile environments with highly cross-functional teams (Data Science, ML Engineering, MLOps, Backend, Frontend).
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupChapter Lead Data Analytics | Personalization
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This is a on-site position, based in São Paulo (SP) OR Campinas (SP).
About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
What you'll do:
Management routine
- Manage and lead a high-performance team of Data Analysts and Analytics Engineers (8 to 10 resources).
- Work with product leaders, engineering, and commercial strategy to form a unified data-driven strategy.
- Support analysis request prioritization with stakeholders and Data Product Managers (DPMs).
- Actively balance team leadership efforts with practical development/coding of data products, metrics, and visualizations to drive business.
Technical routine
- Review to verify that best practices have been followed for high-quality products, recommend appropriate data sources and models, ensuring scalability and high reuse.
- Drive the business strategy by providing insights into current performance and highlighting areas of opportunity for growth. To do this, conduct advanced data analysis, statistical modeling, and machine learning models to answer specific business questions, extract insights and predictive patterns from large datasets to explain and expose potential opportunities from the data.
- Develop data sets/schemas consuming data from multiple sources such as internal databases, analysis tools, unstructured sources, and other external sources.
- Demonstrate a solid understanding of complex data models, data structures, and best practices for data governance to support the data platform team in definitions and executions following best practices appropriate to use cases.
What you'll need:
- Bachelor’s degree completed in Information Systems, Data Science and Analytics, Mathematics, Statistics, Computer Engineering, or other data-related fields, with a strong foundation in Statistics.
- Prior experience in technical management of Data Analyst or Analytics Engineering teams.
- Advanced English is mandatory - will work with a global team.
- Experience with B2B portfolio management would be a big plus.
- Expertise in database query and reporting tools (SQL + Power BI + DAX).
- Effective skills in programming languages (Python, PySpark, SQL).
- Strong experience designing and maintaining CI/CD pipelines, using Git for code versioning, and actively participating in code review practices.
- Strong experience with relational (SQL) and non-relational (NoSQL) database technologies.
- Prior experience in cloud data solutions (e.g., Databricks, Redshift, BigQuery, Teradata, Snowflake) and cloud platforms such as AWS and Azure.
- Experience in analyzing data to identify key insights, gaps, and inconsistencies.
- Familiarity with the Systems Development Life Cycle and Agile Methodology.
Soft Skills:
- Effectively communicate complex technical concepts and analytical insights to non-technical stakeholders and senior leadership.
- Promote collaboration and a productive work environment by sharing knowledge and experience with direct subordinates.
- Proven ability to seek unconventional solutions, explore opportunities, and develop innovative solutions.
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth GroupSenior Data Analyst | BEES Personalization
Share this job
About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
What you'll do:
- Design, model, and maintain end-to-end BI solutions in Power BI, including data modeling, DAX calculations, report building, and interactive dashboards that drive business decision-making.
- Use SQL and Python to query, clean, and analyze large datasets, ensuring accuracy and reliability of the data used in reporting.
- Transform analytical findings into compelling narratives that connect data insights with business strategies for both technical and non-technical stakeholders.
- Apply best practices in data visualization and user-centric design to deliver impactful, intuitive, and actionable dashboards and reports.
- Collaborate with international teams as part of a global project, leveraging advanced English communication skills to ensure alignment, standardization, and knowledge sharing across regions.
- Partner with cross-functional stakeholders to deliver high-quality, actionable insights under tight deadlines with a proactive and solution-oriented mindset.
What you'll need:
- BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other related quantitative field.
- Advanced knowledge of Power BI (data modeling, DAX, report building, and dashboard design).
- Advanced expertise in SQL for querying and data preparation.
- Advanced English (spoken and written) to effectively communicate insights with international stakeholders.
- Experience with Python for statistical analysis
- Strong skills in data storytelling: ability to craft clear narratives that connect data insights to business strategy, ensuring stakeholders easily understand and act on the information.
- Deep understanding of data visualization best practices, design principles, and user-centric dashboards.
- Ability to translate complex datasets into insightful, visually compelling, and actionable reports.
- Organized and detail-oriented, capable of delivering under tight timelines while ensuring quality.
- Excellent communication and presentation skills, able to tailor the message for both technical and non-technical audiences.
- Proactive, solution-oriented mindset with strong collaboration skills to work across cross-functional teams.
More about you:
- Strong communication skills, with the ability to explain complex concepts clearly to both technical and non-technical audiences.
- Storytelling mindset, connecting data insights to business impact in a compelling way.
- Proactive and solution-oriented attitude, anticipating needs and suggesting improvements.
- Collaborative approach, working effectively with cross-functional and international teams while building trust and alignment.
- Detail-oriented, ensuring accuracy, reliability, and high-quality standards in all deliverables.
- Adaptable and resilient, comfortable managing tight deadlines and shifting priorities.
- Strategic thinking, always connecting insights to business outcomes and long-term goals.
What We Offer:
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: www.abinbev.com
Ready to apply?
Apply to AB InBev | Growth Group