Data Product Manager | Computer Vision & Machine Learning

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