Revenue Management Expert (Customer Success Specialist)

We’re Kuona (kuona.ai), an Artificial Intelligence technology company that empowers consumer products and retailers to live up to their revenue goals and empowers our clients to maximize their sales and profitability through the dynamic optimization of prices, promotions, and inventories. Our AI-powered platform helps top brands like Coca-Cola, Heineken, and Nutrioli to maximize their profits and optimize inventories. We are looking for people who are world-class, curious, innovative, bright, and work to be better every single day!

This function is a Revenue Management Expert (Customer Success Specialist) responsible for accurately processing the correct use of the SaaS tool, defining, developing, and helping to implement Revenue Management strategies. Analysis, interpretation, and actions related to product pricing, promotional pricing, understanding of shoppers and clients by segment, and product performance tracking in the channel. Additionally, this role is responsible for defining & updating the Revenue strategy framework & promo guidelines to maximize trade investment effectiveness in emergent channels. This position will be the main point of contact with our client’s team to ensure effective and efficient communication, collect and evaluate data from them, and generate relevant information for our customers.

• This is a hybrid position; the candidate can work from home but must be available to visit our clients when needed.

• Can only consider candidates in the Netherlands, Germany, Switzerland, or Poland

• Must be business fluent in English / German / desirable but not a must Spanish

Key Responsibilities:

• Be the main point of contact of Kuona in the region.

• Deliver value in terms of insights, excellent service, and recommendations to guarantee business success agenda.

• Serves customers by identifying their needs and matching them with our portfolio.

• Development and management of econometric forecasting models and time series for the anticipation of strategic decision-making regarding pricing strategies.

• Aids in sales engineering reports by collecting, analyzing, and summarizing sales information and engineering and application trends.

• Manage the detection, communication, and assurance of capitalizing opportunities in price strategies by product, market, and region.

• Contributes to sales engineering effectiveness by identifying short-term and long-range issues that must be addressed, recommending options and courses of action, and implementing directives.

• Ensure continuous platform optimization and implementation to contribute a better understanding of opportunities in revenue management.

Requirements:

• BA/BS University degree in Economics, Finance, Actuary.

• Excellent use and understanding of Microsoft Excel

• 6 months of experience applying mathematical models

• Knowledge of analysis models for large quantities of data

• 4+ years of experience with pricing strategy, channel pricing, price metrics, and elasticity analysis.

• Analytical and Problem-Solving skills

• Excellent presentation and communication skills

• Teamwork and Leadership skills

• English and German spoken and written

• 1 year working in a fast-moving consumer goods industry

• 1 year+ of experience in a Pricing or Revenue role

Your experience with Kuona:

• Creativity: We like that all team members can propose and create new features

• Opportunities to learn: We offer all our employees a wide opportunity to learn things that you probably wouldn't be exposed to in a corporate environment.

• High Impact: You will be involved in the growth and evolution of the company, and all your contributions will be of high impact on the overall results.

• We value our culture: We are fully committed to prioritizing great results for our clients and an amazing employee experience for our people.

Kuona provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.