<p><strong>About BEES</strong> </p> <p>Join us to build the future of B2B commerce! </p> <p>BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 30 countries can stock their businesses quickly, easily, and securely. <br>At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow. </p> <p>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! </p> <p><strong>About the role:</strong></p> <p>We are looking for a <strong>Technical Product Manager (Data/AI)</strong> to join our <strong>Generative AI & Search</strong> 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.</p> <p>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.</p> <p><strong>What you'll do:</strong></p> <p><strong>Drive Strategic Alignment</strong></p> <ul> <li>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.</li> <li>Act as a product evangelist—educating stakeholders on LLM/Search capabilities, trade-offs (latency, cost, accuracy/hallucinations), limitations, and product roadmap.</li> <li>Provide regular updates to internal stakeholders and leadership on product adoption, search relevance, agent performance, and business impact.</li> </ul> <p><strong>Plan & Prioritize</strong></p> <ul> <li>Own quarterly product planning in close collaboration with AI/ML Engineers, Data Scientists, Data Engineers, and Software Engineers.</li> <li>Leverage your technical background to balance business value, model/prompt experimentation, search relevance tuning, and platform/infrastructure scalability when defining priorities.</li> <li>Continuously assess team capacity, technical debt, and delivery risk to ensure plans are realistic, achievable, and aligned with broader product and business strategy.</li> </ul> <p><strong>Execute & Deliver</strong></p> <ul> <li>Partner closely with technical teams to execute the quarterly backlog and deliver high-impact GenAI and Search capabilities.</li> <li>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.</li> <li>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.</li> <li>Lead Agile ceremonies, including daily stand-ups, sprint planning, reviews, and retrospectives, acting as a technical sounding board for the squad.</li> <li>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.</li> </ul> <p><strong>Engage Stakeholders</strong></p> <ul> <li>Maintain strong relationships with technical, commercial, and senior leadership stakeholders.</li> <li>Present quarterly roadmaps, architectural trade-offs, and progress updates with clarity and confidence.</li> <li>Proactively manage expectations by negotiating scope, timelines, and technical trade-offs across internal teams and customers.</li> </ul> <p><strong>What you'll need:</strong></p> <ul> <li>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.</li> <li>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).</li> <li>Strong understanding of the AI/ML and Search lifecycle, including data pipelines, indexing, context retrieval, evaluation frameworks, deployment, monitoring, and continuous iteration.</li> <li>Ability to translate ambiguous business problems into clear technical product requirements and architectural specifications.</li> <li>Exceptional written and verbal communication skills, capable of bridging business, software engineering, and data science audiences.</li> <li>Fluent English (and Advanced Spanish is a plus) to collaborate effectively with global teams.</li> <li><strong>Willingness to work hybrid in São Paulo</strong>.</li> </ul> <p><strong>More about you:</strong></p> <ul> <li>Solid backgro