RGM Product Manager

Job Description Summary: About the Role Revenue Growth Management (RGM) is one of The Coca-Cola Company’s most important commercial capabilities, and not simply a pricing discipline. Coca-Cola positions RGM alongside brand building, innovation, and integrated execution as a core capability for topline growth, and our growth strategy names it a key commercial capability for determining where to play and how to win. RGM connects consumer demand to the economics of the system. It determines what we sell, in which packages, at what price points, through which channels and customers, and with what promotional investment, all in service of balanced growth across transactions, volume, and price/mix. Done well, it finds incremental revenue pools and converts them into commercial action, improves the economics of every price, pack, assortment, and promotion decision, builds the affordability and premiumization ladders that bring more consumers into the portfolio, and gives Coca-Cola and its bottlers a common fact base for growing customer revenue and profit rather than simply negotiating price. We are now reimagining RGM for the agentic AI era, and we are building it ourselves. Our Global RGM Product is evolving from a suite of analytical solutions into an intelligent decision platform where AI agents interact directly with enterprise data, invoke advanced analytics and optimization models, run and compare scenarios, and hand commercial teams a recommendation with the reasoning attached. Work that once took an analyst a week (pulling the data, running the model, writing the story, defending the number) is being compressed into a conversation. Few companies are attempting this at this scale, and fewer are still against decisions this consequential: real pricing, promotion, and portfolio moves, made across markets and bottlers. The work sits at the frontier of the CPG industry, spanning agent orchestration, retrieval over enterprise data, and the evaluation of non-deterministic and deterministic systems, and none of it is a research exercise. What we build ships to commercial teams who use it to make decisions the same week. This is an opportunity to build, not just design, the next generation of commercial decision intelligence at Coca-Cola, and to establish the operating model for agentic RGM at global scale. The patterns set here will shape how one of the world’s largest commercial systems makes its most important decisions. If you want your work in front of real users, at real scale, from the first release, this is that role. Role Overview As Product Manager, RGM, you will own the what and the why of how AI shows up in the Global RGM product: which commercial decisions agents should support, for whom, in what order, and how success is measured in commercial impact, adoption, and responsible delivery. You will work within a persistent, cross-functional product team alongside Data Science, Engineering, UX, Architecture, and RGM experts. Engineering owns how the product is built; you own everything that determines whether it is worth building. Product direction starts in market. You will spend time with RGM teams at operating units and bottlers to understand how pricing, promotion, and portfolio decisions are actually made, where current ways of working break down, and where AI can credibly change the outcome. You will convert that discovery into direction: clear problem statements, an 18-month AI product roadmap, and requirements that tell the team not just what to build, but why it matters commercially. Day to day, this is a hands-on AI product seat. You will write user stories, acceptance criteria, and evaluation criteria for agent behavior, prioritize the backlog against commercial value, define what “good” looks like for each release (including the quality bar for AI outputs), and sign off that what shipped does what the business needed. It demands deep technical judgment across GenAI, retrieval-augmented generation, model context protocol, agent patterns, and evaluation, paired with genuine fluency in what the product produces (elasticities, uplift against baseline, share math) and in the commercial world those recommendations land in. You will stay engaged across the full product lifecycle, from discovery and pilot design through launch, adoption measurement, and continuous improvement — because adoption is the truest test of whether you defined the right product. The role is global across a commercial system that spans more than 200 countries and territories, roughly 200 bottling partners, and 30 million retail customer outlets — few products anywhere offer a larger canvas. It is also a first seat: the AI product discipline you establish here becomes the pattern for how agentic RGM scales to every market. What You Will Do for Us •         Set the AI product vision: define how AI shows up across the Global RGM product, anchored in commercial value for operating units and bottlers, responsible delivery, and long-term platform leverage. •         Own the AI product roadmap: define the problems worth solving, sequence agent, model, and data capabilities by commercial value into a clear 18-month roadmap, and present the roadmap and the value delivered to OU leadership and bottler executives. •         Run continuous discovery with users: sit with RGM managers and walk a run end to end (which price moves to take, which to skip, and why) to understand where the product creates value, where it falls short, and where AI can credibly change the outcome. •         Translate discovery into AI requirements: write problem statements, user stories, and acceptance criteria the team can build against, including how agents should behave, which data and tools they may use, and when they should decline or escalate to a person. •         Own and prioritize the backlog against commercial value, with the judgment to say no, sequence competing requests, and defend a prioritization call