Data Product Manager - RTM & Contact Strategy

AB InBev

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. As a Data Product Manager | Machine Learning Platform, you will own the product direction for a critical set of platform capabilities supporting the end-to-end machine learning lifecycle, from data and feature readiness through model development, deployment, and observability. You will work closely with data scientists, machine learning engineers, data engineers, and platform teams, driving the evolution of a platform that enables safe, scalable, and consistent delivery of machine learning solutions.   What you'll do: * Define and Advance ML Platform Strategy * Set the vision and roadmap for your platform domain, prioritizing self-service, reliability, and reusability across the ML lifecycle. * Define and evolve standards, contracts, and shared tooling that enable scalable adoption of platform capabilities.   * Drive Adoption and Platform Delivery * Partner closely with data science, ML engineering, and data engineering teams to identify workflow bottlenecks and platform gaps. * Deliver capabilities such as templates, CLIs, and standardized workflows, enabling users to execute repeatable tasks independently within clear guardrails. * Advance key platform capabilities, including: Feature governance; Training-serving parity; Model release and promotion standards; Deployment patterns (batch and real-time); Observability and monitoring.   * Enable Scalable Machine Learning Operations * Improve and standardize how models move from development to production, reducing manual effort and increasing reliability. * Ensure platform capabilities provide clear ownership, consistent practices, and strong operational visibility. * Drive adoption of shared platform components across multiple data science teams and markets.   What you'll need: * Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related technical field — or equivalent practical experience * Relevant years of professional experience with a strong technical foundation * Hands-on experience as a data scientist, machine learning engineer, or software engineer is strongly preferred  * Experience working on complex, cross-functional technical problems involving data and platform systems * Fluency in English (required) * Portuguese or Spanish is a plus * Strong written and verbal communication skills * Comfortable discussing technical architecture, workflows, and trade-offs in depth; * Advanced communication skills in English (written and spoken); * Python (required): ability to read, understand, and reason about pipeline and platform code; discuss implementation trade-offs with engineers * SQL (required): ability to run independent investigations to validate data, features, and metrics; * Strong fluency in Machine Learning lifecycle and MLOps topics (e.g. Model training, evaluation, and experimentation; Monitoring, drift detection, and production operations; CI/CD for ML workflows; etc)    Nice to Have: * Experience with Databricks and Azure. * Prior product management experience on developer, data, or ML platform products. * Familiarity with product and project management tools (Jira, Confluence). * Experience defining and prioritizing a roadmap, backlog, or release plan. * Comfort writing clear requirements, user stories, or acceptance criteria that engineering teams can execute against.   More about you: * You´re passionate about software development and knows how to ensure its quality; * You´re motivated by building up world class solutions that impacts millions of users all over the world; * Experienced working in an environment which uses and stimulates DevOps culture; * You´re creative when solving problems and is continuously seeking improvements for processes and solutions; * You can communicate clearly with your team and the company to identify issues and demands; * You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result.   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

Thiga

En tant que Data Product Manager, tu seras en immersion au sein des équipes de nos clients. Tu travailleras pour des sociétés allant de la startup française au grand groupe international, dans des secteurs aussi divers que les transports, l’assurance, le luxe, la musique, le tourisme ou encore la banque en ligne. Que ce soit pour identifier et cadrer les cas d’usage pertinents pour lancer un nouveau Produit Data ou pour accompagner le développement au sein d’une équipe de Data Scientists et Data Engineers, nos Data PM sont là pour apporter une vision et une démarche produit sur des sujets de pointe !    

AB InBev

About BEES  Join us to build the future of B2B commerce!  BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely.  At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.  Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!  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