Job Opportunities API

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 mana