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
