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BEES

Product Manager - CX Specialist

São Paulo, Brazil

Location
São Paulo, Brazil
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Product
Pay
Not stated
Posted
9 days ago

About the role

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 30 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!

About the role

We are seeking a passionate and detail-oriented Customer Experience Specialist for Data Products to join our dynamic team. In this role, you will be responsible for enhancing the user experience of our AI-driven data products within the BEES apps ecosystem. You will work closely with cross-functional teams, including data scientists, product managers, and customer support, to ensure our AI models meet and exceed user expectations.

What you'll do

  • User Experience Enhancement: Analyze user feedback and data to identify pain points and areas for improvement in the interaction with our AI models.
  • Customer Support Collaboration: Work alongside customer support teams to address user issues related to data products, providing insights and solutions to improve user satisfaction.
  • Feedback Loop Management: Establish and maintain a feedback loop with users to gather insights and continuously refine AI model performance.
  • Training & Documentation: Develop and deliver training materials and documentation to help users understand and effectively utilize our data products.
  • Performance Monitoring: Monitor the performance of AI models in real-time, ensuring they meet quality standards and user needs.
  • Cross-Functional Collaboration: Collaborate with data scientists and product managers to influence the design and functionality of AI models based on user feedback.
  • Customer Advocacy: Act as the voice of the customer within the organization, advocating for user-centric improvements to our data products.
  • Stakeholder Alignment & Communication: Act as a key point of contact for stakeholder alignment, both within and outside Global Headquarters, ensuring shared understanding of metrics, results, and priorities.

What you'll need

  • Good knowledge of Business Intelligence concepts, including metrics, data models, and visualization best practices.
  • Good knowledge of Customer Experience concepts, including metrics, standard processes, and best practices.
  • Strong analytical profile, with experience or familiarity with Databricks, data analytics environments, and programming in SQL or Python for analytical autonomy.
  • Ability to work in close partnership with Product Managers and business stakeholders.
  • Advanced English to collaborate with global teams.
  • Excellent verbal and written communication skills, with the ability to translate data into clear business narratives.
  • Strong analytical and problem-solving skills, with a proactive approach to identifying and addressing user issues.

More about you

  • Previous experience working closely with Product, Data, Commercial, or CX teams.
  • Strong business or CX acumen and a data-driven decision-making mindset.
  • Experience in cross-functional environments.

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

Source

Posted by BEES on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 01:58 UTC; the original is the reference.

View the original ad ↗

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