About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well-known global beer brands like Corona, Budweiser, and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Zé Delivery and TaDa Delivery, and tabletop beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
About the role:
We are looking for a Technical Product Manager (Data/AI) to join our Generative AI & Search team, playing a critical role at the intersection of business, data science, and software engineering. You will own the strategy, execution, and adoption of GenAI-powered experiences, intelligent agents, and semantic search products used across global markets.
This role requires strong product leadership, **a solid technical background to guide and challenge the engineering and data teams**, and the ability to translate complex AI/Search architectures into tangible business value for commercial and customer stakeholders.
What you'll do:
Drive Strategic Alignment
- Partner with global commercial and product stakeholders across LATAM, US, and global markets to enable product understanding, drive adoption, and unlock new Generative AI and Search use cases.
- Act as a product evangelist—educating stakeholders on LLM/Search capabilities, trade-offs (latency, cost, accuracy/hallucinations), limitations, and product roadmap.
- Provide regular updates to internal stakeholders and leadership on product adoption, search relevance, agent performance, and business impact.
Plan & Prioritize
- Own quarterly product planning in close collaboration with AI/ML Engineers, Data Scientists, Data Engineers, and Software Engineers.
- Leverage your technical background to balance business value, model/prompt experimentation, search relevance tuning, and platform/infrastructure scalability when defining priorities.
- Continuously assess team capacity, technical debt, and delivery risk to ensure plans are realistic, achievable, and aligned with broader product and business strategy.
Execute & Deliver
- Partner closely with technical teams to execute the quarterly backlog and deliver high-impact GenAI and Search capabilities.
- Drive the end-to-end delivery of: Conversational AI & Agentic workflows, Semantic & Hybrid Search engines (RAG, vector search), Scalable and low-latency APIs, Evaluation frameworks (LLM-as-a-judge, offline/online evals), and observability dashboards.
- Define Epics, High-Level Requirements (HLRs), and technical specs, leading refinement sessions with a strong focus on: System architecture, User experience (UX), Search relevance & ranking, and LLM behavior, guardrails, and performance.
- Lead Agile ceremonies, including daily stand-ups, sprint planning, reviews, and retrospectives, acting as a technical sounding board for the squad.
- Track delivery and performance metrics, producing sprint summary reports with emphasis on: Team productivity, Search & AI quality metrics (e.g., NDCG, MRR, faithfulness, latency, token cost), and usage/adoption trends.
Engage Stakeholders
- Maintain strong relationships with technical, commercial, and senior leadership stakeholders.
- Present quarterly roadmaps, architectural trade-offs, and progress updates with clarity and confidence.
- Proactively manage expectations by negotiating scope, timelines, and technical trade-offs across internal teams and customers.
What you'll need:
- Strong technical background (e.g., degree or prior hands-on experience in Computer Science, Software Engineering, Data Science, or Systems Architecture) with the ability to constructively guide technical discussions and architecture decisions with engineers and scientists.
- Proven experience managing data, Search, or AI/ML-driven products, with a strong grasp of Generative AI concepts (LLMs, RAG, Prompt Engineering, Agents, Embeddings) and Information Retrieval / Search (Lexical vs. Vector/Semantic Search, ranking, indexing).
- Strong understanding of the AI/ML and Search lifecycle, including data pipelines, indexing, context retrieval, evaluation frameworks, deployment, monitoring, and continuous iteration.
- Ability to translate ambiguous business problems into clear technical product requirements and architectural specifications.
- Exceptional written and verbal communication skills, capable of bridging business, software engineering, and data science audiences.
- Fluent English (and Advanced Spanish is a plus) to collaborate effectively with global teams.
- Willingness to work hybrid in São Paulo.
More about you:
- Solid background in Technical Product Management or Data Product Management, preferably building AI, GenAI, or Search platforms/products.
- Hands-on experience writing Epics, High-Level Requirements (HLRs), API contracts, and technical documentation—structured documentation is one of your strengths.
- Deep understanding of modern software architecture, including distributed systems, databases (relational, NoSQL, Vector DBs), REST/streaming APIs, and cloud infrastructure.
- Experience working in Agile environments leading highly cross-functional technical teams (Data Science, AI/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
Skills Required
- Strong technical background through a degree or hands-on experience in Computer Science, Software Engineering, Data Science, or Systems Architecture
- Experience managing data, search, or AI/ML-driven products
- Strong understanding of Generative AI concepts, including LLMs, RAG, prompt engineering, agents, and embeddings
- Understanding of information retrieval and search, including lexical search, vector or semantic search, ranking, and indexing
- Understanding of the AI/ML and search lifecycle, including data pipelines, indexing, retrieval, evaluation, deployment, monitoring, and iteration
- Ability to translate ambiguous business problems into technical product requirements and architectural specifications
- Exceptional written and verbal communication skills
- Fluent English
- Willingness to work hybrid in Sao Paulo
- Background in technical product management or data product management
- Experience building AI, GenAI, or search platforms or products
- Hands-on experience writing epics, high-level requirements, API contracts, and technical documentation
- Understanding of distributed systems, databases, vector databases, REST or streaming APIs, and cloud infrastructure
- Experience working in Agile environments with cross-functional data science, AI/ML engineering, MLOps, backend, and frontend teams
- Advanced Spanish
What We Do
We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago. We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow. We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol. Anheuser-Busch InBev is a publicly traded company (Euronext: ABI) based in Leuven, Belgium, with secondary listings on the Mexico (MEXBOL: ANB) and South Africa (JSE: ANH) stock exchanges and with American Depositary Receipts on the New York Stock Exchange (NYSE: BUD).
