Data Product Manager | Computer Vision & Machine Learning
Quick Summary
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.
Dashboard visibility User experience (UX) Model behavior and performance Lead Agile ceremonies, including daily stand-ups, sprint planning, reviews, and retrospectives .
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.
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.
Responsibilities
~2 min readDrive 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.
- 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
- 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
~1 min readAB 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
Listing Details
- Posted
- April 8, 2026
- First seen
- March 26, 2026
- Last seen
- April 11, 2026
Posting Health
- Days active
- 16
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- April 11, 2026
Signal breakdown
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