RGM Product Manager

The Coca-Cola Company•Atlanta, GA

9d•$202,000 - $229,000•Onsite

About The Position

Revenue Growth Management (RGM) is a critical commercial capability at The Coca-Cola Company, focused on driving topline growth by connecting consumer demand to system economics. This role is part of reimagining RGM for the AI era, evolving it into an intelligent decision platform where AI agents interact with enterprise data, run scenarios, and provide recommendations with reasoning. This is a unique opportunity to build the next generation of commercial decision intelligence at Coca-Cola at a global scale, establishing the operating model for agentic RGM. The work is at the forefront of the CPG industry, with a focus on practical application and immediate user impact. As Product Manager, RGM, you will be responsible for defining the 'what' and 'why' of the Global RGM product, including which problems to solve, their priority, and how success is measured. You will collaborate within a cross-functional product team comprising Data Science, Engineering, UX, Architecture, and RGM experts. Your role involves understanding market needs through direct engagement with RGM teams at operating units and bottlers, translating these insights into a prioritized roadmap and clear requirements. You will own the product backlog, write user stories, define acceptance criteria, and ensure that shipped functionality meets business needs. This role demands fluency in RGM concepts and the commercial landscape, overseeing the product lifecycle from discovery to adoption and continuous improvement. The position is global in scope, impacting over 200 countries and territories, and will set the pattern for scaling the Global RGM Product across all markets.

Requirements

Bachelor’s degree in Business, Economics, Marketing, Engineering, or a related field; MBA or equivalent postgraduate qualification preferred.
8+ years in Revenue Growth Management, commercial, or category roles at a CPG company or bottler, including direct ownership of pricing or promotion decisions.
Experience at a top-tier management consulting firm (e.g., McKinsey, BCG, Bain) or the strategy practice of a leading professional services firm is strongly preferred, particularly where it involved pricing, revenue management, or commercial excellence engagements with CPG or retail clients.
Strong understanding of Revenue Growth Management concepts across pricing, promotion, assortment, and mix, plus commercial analytics and value creation drivers.
Working knowledge of global RGM best practices across the core RGM levers: headline pricing, price-pack architecture, trade promotion optimization, assortment, mix management, and trade terms/margin management.
Strong understanding of how bottling partners go to market, including route-to-market models (direct store delivery, distributors, wholesalers), channel and outlet segmentation, and how pricing and promotion decisions cascade through the bottler P&L to execution at the point of sale.
Ability to read the product’s numbers (elasticities, uplift against baseline, and share math) and to explain their limits as clearly as their conclusions.
Demonstrated experience taking digital or analytics products from discovery through launch and adoption in a matrixed, franchise environment — stakeholder mapping, launch planning, and embedding new ways of working; influence without authority is the daily job.
Ability to write short, clear one-pagers (the deliverable users actually read) and to tell an insight story from analyst level up to leadership.
Demonstrated product management experience: framing problems and outcomes, writing requirements, user stories, and acceptance criteria, owning and prioritizing a backlog, and working with an engineering team through agile delivery ceremonies.
Experience translating business needs into digital product capabilities, including the judgment to say no, sequence competing requests, and defend a prioritization call to senior stakeholders.
Demonstrated experience mapping workflows and processes end to end: documenting how work actually gets done today, designing the future-state process around the product, and pinpointing the handoffs, bottlenecks, and decision points in between.
Willingness to tell the product team when the model is wrong, and a skeptical user when the model is right, with the data for both.
Strong pilot design and test-and-learn discipline: hypothesis framing, control groups, incrementality measurement.
Working fluency in Excel, Power BI, and PowerPoint, and the confidence to operate the RGM Pricing, Promotion, and Portfolio applications day to day.
Basic SQL, sufficient to pull and check your own numbers; preferred.
Practical experience using LLM-based tools for real work, including a clear view of where they fail; preferred.
A global role supporting operating units and bottlers in every region requires working across time zones, including early and late calls, availability outside standard business hours, and travel to markets.
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Nice To Haves

MBA or equivalent postgraduate qualification
Experience at a top-tier management consulting firm (e.g., McKinsey, BCG, Bain) or the strategy practice of a leading professional services firm, particularly where it involved pricing, revenue management, or commercial excellence engagements with CPG or retail clients.
Basic SQL, sufficient to pull and check your own numbers
Practical experience using LLM-based tools for real work, including a clear view of where they fail

Responsibilities

Own the product roadmap for the Global RGM suite: define the problems worth solving, sequence capabilities by commercial value, 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 and where it falls short.
Translate discovery into direction: turn user pain into written requirements with clear problem statements, examples, and acceptance criteria, and retest with the same users once a fix ships.
Write user stories the engineering team can build against, and represent the voice of OUs and bottlers in prioritization and roadmap decisions with the Global RGM Product Owner.
Own and prioritize the product backlog against commercial value, with the judgment to say no, sequence competing requests, and defend a prioritization call to senior stakeholders.
Define the success measures for each release, participate in backlog refinement and sprint reviews with the pod, and give business sign-off that shipped functionality does what the market actually needed.
Guard the product’s credibility by catching recommendations that would not survive scrutiny in front of a bottler, before the bottler sees them.
Embed the closed-loop RGM workflow in the product (insight generation and opportunity sizing, strategy setting, guardrail definition, in-market execution, and post-implementation evaluation) so markets operate a consistent, repeatable process.
Design for governance: make RGM rules of engagement (price floors and ceilings, discount depth and promotion frequency, and price-gap and price-index thresholds) capabilities the product enforces rather than policies applied around it.
Support pilot design and test-and-learn discipline with market teams: hypothesis framing, control groups, and incrementality measurement.
Partner with the AI engineer on insight quality, rating generated insights and flagging output the underlying data does not support.
Partner with the UX designer on launch communication, naming, and demo material so each release lands with the business.
Build the business case for significant capability requests: size the commercial opportunity, weigh it against effort and alternatives, and make the call on what is worth building.
Lead each release to adoption: launch planning, capability building, and short playbooks (how to read an elasticity, when to trust a recommendation), with the goal of users opening the product without you.
Track adoption honestly per market (who uses the product, for what, and where usage stalls), report numbers rather than impressions, and feed what stalls back into the backlog.