Data Product Manager - GenAI & Search

BEES is AB InBev's B2B platform. 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.

Responsibilities

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, limitations, and product roadmap; Provide regular updates to internal stakeholders and leadership on product adoption, search relevance, agent performance, and business impact; Own quarterly product planning in close collaboration with AI/ML Engineers, Data Scientists, Data Engineers, and Software Engineers; 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; Drive the end-to-end delivery of Conversational AI and Agentic workflows, Semantic and Hybrid Search engines (RAG, vector search), Scalable and low-latency APIs, Evaluation frameworks, and observability dashboards; Define Epics, High-Level Requirements (HLRs), and technical specs, leading refinement sessions; Lead Agile ceremonies, acting as a technical sounding board for the squad; Track delivery and performance metrics and produce sprint summary reports; Maintain strong relationships with technical, commercial, and senior leadership stakeholders; Present quarterly roadmaps, architectural trade-offs, and progress updates; Proactively manage expectations by negotiating scope, timelines, and technical trade-offs across internal teams and customers

Requirements

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; 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; Willingness to work hybrid in São Paulo; 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; 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)

Nice to have

Advanced Spanish

Benefits

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