Data Product Manager - Machine Learning & Computer Vision

Bees

São Paulo

Presencial

BRL 180 000 - 280 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Performance bonus
Attendance bonus
Private pension plan
Meal allowance
Casual office and dress code
Health, dental, and life insurance
Medicines discounts
WellHub partnership
Childcare subsidies
Language and training platforms

Resumo da oferta

BEES, AB InBev’s B2B platform, seeks a Data Product Manager for its Computer Vision team. You will own strategy, execution, and adoption of AI-powered products across global markets, aligning with business goals and stakeholders.

You will translate complex ML capabilities into business value, collaborate with global teams, and lead quarterly planning with data science and engineering partners to deliver impactful computer vision features.

Qualificações

  • Proven experience managing data or ML-driven products.

Responsabilidades

  • Drive strategic alignment with global stakeholders across LATAM, US, and Mexico.
  • Act as a product evangelist—educating stakeholders on capabilities, limitations, and roadmap.
  • Provide regular updates on product adoption, model performance, and business impact.
  • Own quarterly product planning in collaboration with Data Scientists, Data Analysts, and engineers.
  • Define Epics and High-Level Requirements (HLRs) with focus on UX, dashboards, and model performance.
  • Lead Agile ceremonies: daily stand-ups, sprint planning, reviews, and retrospectives.

Conhecimentos

Product management
ML-driven products
Agile methodologies
Stakeholder management
Communication skills
Fluent English
Advanced Spanish

Descrição da oferta de emprego

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, MLEngineers 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

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