Product Strategy Specialist

📍 Job Overview

Job Title: Product Strategy Specialist

Company: BEES (AB InBev Growth Group)

Location: Campinas, São Paulo, Brazil

Job Type: Full-time

Category: Product Management / Strategy (with strong Operations & Data Analytics focus)

Date Posted: April 2, 2026

Experience Level: 2-5 Years

Remote Status: On-site

🚀 Role Summary

• Develop and execute a compelling product strategy that drives long-term vision and future growth for digital commerce platforms like BEES.

• Own and prioritize the product backlog, ensuring strict alignment with overarching business objectives, customer needs, and market opportunities.

• Foster deep collaboration with pillar owners and cross-functional teams to seamlessly integrate their requirements and feedback into the product roadmap.

• Translate high-level strategic goals into actionable product plans and detailed execution strategies.

• Conduct rigorous analysis of product performance, user engagement, and market trends to ensure continuous improvement and strategic objective attainment.

📝 Enhancement Note: While titled "Product Strategy Specialist," the responsibilities and required skills strongly indicate a role that bridges product management with deep operational execution and data analysis. The emphasis on algorithms, KPIs, data integrity, and market-specific needs suggests a "Product Operations" or "GTM Strategy" flavor within a product context, particularly within the B2B/DTC digital commerce space. The "Algorithm, Data & Product" section is particularly indicative of this hybrid nature.

📈 Primary Responsibilities

• Product Strategy Development: Define and articulate the product vision, strategy, and roadmap for key digital commerce initiatives, ensuring alignment with AB InBev's global growth objectives.

• Backlog Prioritization: Manage and prioritize the product backlog using data-driven insights and stakeholder input, ensuring maximum impact and ROI for development efforts.

• Cross-Functional Collaboration: Partner closely with Data Product Managers, pillar owners, country teams, and engineering to gather requirements, validate hypotheses, and ensure successful product implementation.

• Algorithm & KPI Enhancement: Collaborate with data science and analytics teams to refine existing algorithms, define and calculate key performance indicators (KPIs), and drive data-informed product decisions.

• Market Engagement: Actively engage with country teams to understand local market dynamics, customer pain points, and specific requirements, translating these into product enhancements.

• Performance Monitoring & Analysis: Oversee the creation and maintenance of dashboards for data visualization and performance tracking, providing actionable insights to support strategic decision-making.

• Data Integrity & Insights: Ensure the accuracy and integrity of product-related data, identifying trends and opportunities to drive user acquisition, engagement, and retention.

• Feature Discovery & Activation: Work with Product and Design teams to facilitate feature discovery processes and support the successful activation of new features within various markets.

• Continuous Improvement: Implement algorithm improvements and product enhancements based on data analysis, user feedback, and A/B testing results.

📝 Enhancement Note: The explicit mention of "Algorithm, Data & Product" and the detailed responsibilities within that section point towards a significant focus on the operational aspects of product development, including data pipeline integrity, KPI definition, and algorithmic performance. This goes beyond typical product strategy and delves into product operations and data science collaboration.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Business, Computer Science, Engineering, Data Science, or a related field is preferred.

Experience:

• 2-5 years of proven experience in product strategy, product management, data analytics, or a related field, ideally within a B2B or DTC digital commerce environment.

• Demonstrated experience in developing and executing product roadmaps and prioritizing backlogs.

Required Skills:

• Product Strategy & Roadmapping: Ability to define a clear product vision, strategy, and actionable roadmap.

• Data Analysis & Interpretation: Strong analytical skills with the ability to interpret complex data, identify trends, and translate them into actionable insights and strategic recommendations.

• Stakeholder Management: Excellent verbal and written communication skills, with a proven ability to foster positive business relationships and manage expectations across diverse stakeholder groups (e.g., country teams, pillar owners, data scientists).

• Proficiency in Excel & PowerPoint: Advanced skills for data compilation, reporting, and presentation of findings and strategies.

• Business Acumen: Understanding of business goals and customer needs, with the ability to align product initiatives with overarching company objectives.

• Continuous Improvement Mindset: A proactive approach to identifying opportunities for optimization and innovation.

• Cross-Cultural Collaboration: Ability to work effectively with individuals from diverse cultural backgrounds.

Preferred Skills:

• Technical Skills: Desirable technical skills include SQL for data querying and Python for data analysis or scripting.

• Algorithm Understanding: Familiarity with algorithm development, refinement, and performance evaluation.

• KPI Definition & Tracking: Experience in defining, measuring, and reporting on key performance indicators.

• Data Visualization Tools: Experience with tools for creating dashboards and visualizing data (e.g., Tableau, Power BI, Looker).

• Product Management Methodologies: Familiarity with Agile, Scrum, or other product development frameworks.

• Spanish Language Proficiency: Intermediate Spanish is a plus for engaging with potential stakeholders in Spanish-speaking markets.

📝 Enhancement Note: The emphasis on technical skills like SQL and Python, alongside data analysis and algorithm enhancement, positions this role as a "Product Strategist" with a strong "Product Operations" and "Data Science" component. Candidates should highlight any experience in bridging the gap between technical data capabilities and strategic product decisions.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Product Strategy Case Studies: Showcase examples of how you've developed, articulated, and executed product strategies, detailing the process from ideation to market launch and iteration.

• Roadmap & Prioritization Examples: Include documentation or examples of product roadmaps you've contributed to, highlighting your approach to backlog grooming and prioritization based on business value and user needs.

• Data Analysis & Insights Reports: Present examples of data analysis projects where you identified key trends, derived actionable insights, and influenced product decisions or business strategies.

• Cross-Functional Collaboration Documentation: Illustrate instances where you successfully collaborated with diverse teams (e.g., engineering, data science, market stakeholders) to achieve product goals, perhaps through project plans or communication summaries.

• KPI Definition & Performance Tracking: Demonstrate your ability to define relevant KPIs and showcase examples of how you've tracked performance, analyzed results, and recommended improvements.

Process Documentation:

• Strategic Planning Frameworks: Document your approach to strategic planning, including market analysis, competitive assessment, and user segmentation methodologies.

• Agile Development Workflow: Illustrate your understanding and experience with agile development processes, including sprint planning, backlog refinement, and feature release cycles.

• Data Analysis & Reporting Workflows: Outline your process for gathering, cleaning, analyzing, and reporting on product data, including the tools and techniques you employ.

• Stakeholder Alignment & Feedback Loops: Detail your methods for gathering input from stakeholders, managing expectations, and incorporating feedback into the product development lifecycle.

📝 Enhancement Note: Given the role's blend of strategy and operations, a portfolio should emphasize not just the "what" (strategy) but the "how" (process, tools, data analysis) and the "why" (impact on growth, efficiency, customer satisfaction). Demonstrating a structured approach to problem-solving and data-driven decision-making will be crucial.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Performance-Based Bonus: Opportunity for financial rewards tied to individual and company performance.

• Attendance Bonus: Incentive for consistent attendance.

• Private Pension Plan: Long-term financial security planning.

• Meal Allowance: Support for daily food expenses.

• Health, Dental, and Life Insurance: Comprehensive coverage for well-being.

• Medicines Discounts: Financial advantage on pharmaceutical purchases.

• WellHub Partnership: Access to a network of wellness services and facilities.

• Childcare Subsidies: Support for working parents.

• Discounts on Ambev Products: Employee perks related to company offerings.

• Clube Ben Partnership: Access to various partner discounts and benefits.

• Scholarship Opportunities: Potential for financial assistance with further education.

• School Materials Assurance: Support for employees with school-aged children.

• Language and Training Platforms: Access to resources for continuous learning and skill development.

• Transport Allowance: Assistance with commuting costs.

• Casual Office and Dress Code: A relaxed work environment.

• Days Off: Additional paid time off.

Working Hours:

• Standard full-time working hours are expected, likely around 40 hours per week. Flexibility may be available, but the role's on-site requirement suggests a commitment to scheduled office time.

📝 Enhancement Note: Salary estimates are based on general market data for specialist roles in Brazil and should be considered a guideline. Actual compensation will depend on the candidate's profile and the company's compensation structure. The benefits package is substantial, reflecting AB InBev's commitment to employee well-being and development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Food & Beverage (specifically brewing and consumer products), with a significant focus on Digital Commerce and Technology. AB InBev is a global leader in the beer industry, leveraging technology to drive growth through its Growth Group.

Company Size: AB InBev is a large multinational corporation, one of the world's top consumer product companies. The Growth Group and its digital platforms like BEES represent a dynamic, tech-focused segment within this larger organization.

Founded: Anheuser-Busch InBev was formed in 2008 through the merger of Anheuser-Busch and InBev. The Growth Group was specifically created in 2022, indicating a recent and strategic push towards digital transformation and integrated B2B/DTC operations.

Team Structure:

• The Product Strategy Specialist will be part of the AB InBev Growth Group, likely within the BEES platform team or a related digital product division.

• The role involves reporting to a Product Lead or Manager and collaborating extensively with Data Product Managers, Engineering teams, Design, Marketing, and various country commercial teams.

Methodology:

• The Growth Group emphasizes leveraging data and digital transformation to drive organic growth. This implies a data-driven decision-making culture.

• Processes likely follow Agile methodologies for product development, with a strong focus on continuous improvement, experimentation, and iterative releases.

• Collaboration is key, with an expectation of working closely with various "pillar owners" (likely representing different functional areas or product capabilities) and market-specific teams.

Company Website: https://www.ab-inbev.com/, https://bees.com/

📝 Enhancement Note: The creation of the Growth Group and BEES platform highlights AB InBev's strategic investment in digital transformation. This means the company culture for this role will likely be more agile, tech-forward, and data-centric than traditional CPG environments, but still within the framework of a large, established corporation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Specialist," typically indicating an individual contributor role with 2-5 years of experience. It's a mid-level position focused on executing strategy and driving specific product outcomes, rather than managing a team.

Reporting Structure: The specialist will likely report to a Product Manager or Senior Product Manager within the Growth Group. They will work closely with Data Product Managers, engineering leads, and collaborate with numerous stakeholders across different business units and geographies.

Operations Impact: The role has a significant potential to impact revenue and business decisions by shaping the strategy and execution of digital commerce platforms like BEES. By enhancing algorithms, optimizing user journeys, and driving data integrity, the specialist directly contributes to customer acquisition, retention, and overall platform growth.

Growth Opportunities:

• Product Management Advancement: Progression to Product Manager, Senior Product Manager, or Product Lead roles within the Growth Group or other AB InBev digital initiatives.

• Specialization: Deepen expertise in areas like B2B E-commerce, data strategy, algorithm optimization, or specific market growth strategies.

• Cross-Functional Mobility: Opportunities to move into related roles in business development, strategy, marketing operations, or data analytics within AB InBev.

• Leadership Development: Potential to lead product initiatives, mentor junior team members, and contribute to strategic planning at a higher level.

• Global Exposure: Working with diverse markets within AB InBev provides invaluable international experience.

📝 Enhancement Note: The "Specialist" title, combined with the responsibilities, suggests a role focused on deep execution and strategic contribution rather than people management. Growth will likely come from expanding scope, taking on more complex product areas, or moving into management roles within product or operations.

🌐 Work Environment

Office Type: On-site role in Campinas, São Paulo, Brazil. This suggests a traditional office environment designed for collaboration and focused work.

Office Location(s): The primary office is in Campinas, São Paulo, Brazil. AB InBev has a significant presence in Brazil, and Campinas is a major technological and industrial hub.

Workspace Context:

• Expect a collaborative office setting conducive to team meetings, brainstorming sessions, and cross-functional discussions.

• Access to standard office technology, including computers, communication tools, and potentially specialized analytics software.

• Opportunities for direct interaction with colleagues from various departments, fostering a dynamic work environment.

Work Schedule: Standard full-time hours, likely Monday to Friday, with an emphasis on being present in the office. While the company culture may be modern, the on-site requirement indicates a need for consistent office presence for collaboration and workflow.

📝 Enhancement Note: The on-site requirement in Campinas suggests a focus on in-person collaboration, which is crucial for product strategy development and cross-functional alignment, especially when working with diverse global teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, cultural fit, and salary expectations.

• Hiring Manager Interview: Deep dive into your experience with product strategy, data analysis, and stakeholder management. Expect behavioral questions and scenario-based queries.

• Technical/Skills Assessment: This may involve a case study, a presentation of a past project, or a technical exercise (e.g., data analysis task, SQL query formulation) to evaluate analytical and problem-solving skills.

• Cross-Functional Panel Interview: Meeting with key stakeholders (e.g., Data Product Manager, Engineering Lead, Market representative) to assess collaboration skills and strategic thinking in a broader context.

• Final Interview: With senior leadership to discuss strategic vision, cultural alignment, and overall fit for the role and the AB InBev Growth Group.

Portfolio Review Tips:

• Quantify Impact: For each project in your portfolio, clearly articulate the business problem, your approach, the tools/methodologies used, and most importantly, the quantifiable results (e.g., % increase in user engagement, % reduction in churn, R$ in revenue generated).

• Showcase Process: Detail your thought process for strategy development, backlog prioritization, and data analysis. Explain why you made certain decisions.

• Highlight Collaboration: Include examples that demonstrate your ability to work effectively with diverse teams and stakeholders, managing different perspectives and achieving consensus.

• Tailor to the Role: Emphasize projects that align with B2B/DTC digital commerce, data analytics, algorithm improvement, or KPI definition.

• Conciseness and Clarity: Present your portfolio in a clear, well-organized manner, using visuals where appropriate. Be prepared to walk through your most relevant projects in detail during interviews.

Challenge Preparation:

• Product Strategy Case Study: Be prepared to analyze a hypothetical product scenario, define a strategy, prioritize features, and outline key KPIs. Think about how you'd leverage data and customer insights.

• Data Analysis Challenge: Practice analyzing datasets to identify trends, draw conclusions, and make recommendations. Familiarize yourself with common Excel functions and potentially basic SQL queries.

• Stakeholder Management Scenarios: Prepare answers for questions about how you'd handle conflicting stakeholder requests, communicate difficult product decisions, or gain buy-in for your strategy.

📝 Enhancement Note: The emphasis on data, algorithms, and cross-functional collaboration means interviewers will be looking for candidates who can not only strategize but also deeply understand the operational and technical underpinnings of product success. A portfolio demonstrating this blend will be highly advantageous.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Tools: Familiarity with tools for backlog management, roadmap planning, and user story creation (e.g., Jira, Confluence, Asana, Productboard).

• Data Analysis & Visualization: Advanced Excel is a requirement. Proficiency in SQL for data querying is highly desirable. Experience with data visualization tools like Tableau, Looker, or Power BI is a strong plus.

• Collaboration & Communication: Standard tools like Slack, Microsoft Teams, Zoom, and Google Workspace.

• Presentation Software: Advanced PowerPoint is a requirement for reporting and strategy articulation.

Analytics & Reporting:

• CRM/Data Platforms: While not explicitly mentioned, expect to interact with data from CRM systems or dedicated customer data platforms.

• BI Tools: As mentioned, experience with BI tools for dashboard creation and performance tracking is beneficial.

CRM & Automation:

• CRM: Understanding of how CRM data influences product strategy and customer insights.

• Automation Tools: While not directly responsible for automation implementation, an understanding of how automation impacts user experience and operational efficiency within digital commerce platforms is valuable.

📝 Enhancement Note: The explicit mention of "Advanced Excel and PowerPoint skills" is key. The "desirable" technical skills of SQL and Python indicate a leaning towards roles that require hands-on data manipulation and analysis, bridging the gap between business strategy and technical execution.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value, expecting all strategies and decisions to be supported by robust data analysis and insights.

• Customer Centricity: A focus on understanding and meeting the needs of both end-consumers and business customers (B2B).

• Continuous Improvement: A commitment to iterating, learning, and optimizing processes and products.

• Collaboration & Teamwork: Emphasis on working effectively across diverse teams and geographies to achieve shared goals.

• Accountability & Ownership: Taking responsibility for outcomes and driving initiatives to completion.

• Innovation: Encouraging new ideas and embracing digital transformation to stay ahead in the market.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where close partnerships with Data Product Managers, Engineering, Design, and Market Teams are essential.

• Open Communication: A culture that encourages open dialogue, feedback, and knowledge sharing.

• Global Perspective: Working with teams across different cultures requires adaptability, empathy, and clear communication to bridge potential gaps.

📝 Enhancement Note: The creation of the Growth Group and BEES platform suggests a culture that is more dynamic and agile than traditional corporate structures, with a strong emphasis on digital, data, and innovation.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Global Strategy with Local Needs: Effectively translating a global product strategy into actionable plans that cater to the diverse requirements of various country markets.

• Data Complexity & Integrity: Ensuring the accuracy and accessibility of data across multiple systems and markets to support reliable analysis and decision-making.

• Algorithm Optimization: Continuously refining algorithms to improve user experience, drive engagement, and achieve business objectives in a competitive digital landscape.

• Stakeholder Alignment: Managing the expectations and input from a wide range of stakeholders with potentially competing priorities.

• Pace of Change: Adapting to the rapid evolution of digital commerce, consumer behavior, and technology trends.

Learning & Development Opportunities:

• Advanced Analytics & Data Science: Opportunities to deepen skills in data analysis, potentially learning more about Python, SQL, and advanced statistical methods.

• Product Management Expertise: Developing advanced skills in product strategy, roadmap management, and user experience design.

• B2B/DTC E-commerce Domain: Gaining deep insights into the intricacies of digital commerce platforms and consumer goods markets.

• Global Business Operations: Exposure to international markets and diverse business practices within a multinational corporation.

• Leadership Training: Potential for formal leadership development programs as career progression occurs.

📝 Enhancement Note: This role offers a unique opportunity to work at the intersection of product strategy, data science, and operations within a leading global company undergoing significant digital transformation. The challenges are substantial but come with significant learning and growth potential.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you developed a product strategy. What was your process, and how did you ensure alignment with business goals?" (Focus on your strategic framework, market analysis, and alignment with AB InBev's growth objectives.)

• "How do you prioritize a product backlog when faced with competing demands from different stakeholders?" (Highlight your prioritization methodology, use of data, and communication strategies.)

• "Walk me through a complex data analysis you conducted. What insights did you uncover, and how did they influence a product or business decision?" (Be prepared to discuss your analytical process, tools used, and the tangible impact of your findings.)

Company & Culture Questions:

• "What do you know about AB InBev's Growth Group and the BEES platform? How do you see this role contributing to their mission?" (Show you've done your research on the company's digital initiatives.)

• "How do you approach collaborating with teams from different cultural backgrounds?" (Provide specific examples of successful cross-cultural collaboration.)

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each project, clearly outline: Problem/Opportunity -> Your Role & Strategy -> Process/Methodology -> Key Tools Used -> Results (Quantified) -> Learnings.

• Focus on Impact: Emphasize the business outcomes and ROI achieved through your work. Use numbers and metrics whenever possible.

• Highlight Data & Analytics: Show how data informed your decisions and how you measured success. If you worked with algorithms, explain their purpose and impact.

• Demonstrate Strategic Thinking: Explain the "why" behind your decisions. Connect your work to broader business objectives.

• Be Ready for Deep Dives: Anticipate detailed questions about your process, challenges faced, and alternative approaches you considered.

📝 Enhancement Note: Candidates should prepare to speak about specific examples of how they've used data to drive product strategy, how they've managed complex stakeholder relationships, and how they think about algorithm performance and KPI definition in a commercial context.

📌 Application Steps

To apply for this Product Strategy Specialist position:

• Submit your application through the BEES careers portal via the provided Greenhouse link.

• Curate Your Portfolio: Select 2-3 of your most relevant projects that showcase your product strategy development, data analysis capabilities, and cross-functional collaboration skills. Ensure each project clearly outlines the problem, your solution, the process, and quantified results.

• Tailor Your Resume: Highlight keywords from the job description such as "product strategy," "data analytics," "KPIs," "stakeholder management," "Excel," "PowerPoint," and any mention of SQL or Python. Quantify your achievements with metrics.

• Prepare Your Narrative: Practice articulating your experience and how it aligns with the role's requirements. Be ready to discuss your portfolio projects in detail and answer behavioral and situational questions related to strategy, data, and collaboration.

• Research AB InBev's Growth Group: Understand their mission, the BEES platform, and their digital transformation efforts. This will help you tailor your responses and demonstrate genuine interest during interviews.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions. The salary range provided is an estimate based on market data for Brazil and may not reflect the exact compensation offered.