- Experience
- 2–3 yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Education
- B.Tech
- Eligibility
- Professionals who hold a bachelor's or master's degree and have 2–3 years of relevant experience in consulting, investment banking, or a tech company may apply. The role is suited to candidates with a strong interest in pricing, analytics, strategy, and AI-enabled business process improve…
- Resume
- Required to apply
Where you'll work
Job description
Role overview
This position sits within the global Price & Discount Strategy function at HelloFresh, a worldwide meal-kit business operating in 17 countries across 3 continents. The role is centered on defining and executing pricing and discount strategy, with a strong emphasis on AI-enabled optimization that connects commercial decision-making with automation and intelligent workflows.
The main goal is to move pricing away from fixed playbooks and toward adaptive, data-led systems. The work includes exploring how GenAI can improve internal decision-making, testing new incentive models quickly, and creating market-specific pricing insights that help the business react faster than competitors.
You will support the broader global portfolio, including HelloFresh, Factor, GreenChef, EveryPlate, Chef's Plate, and Youfoodz, while partnering with teams across Product, Marketing Analytics, Paid Marketing, and other international stakeholders.
Key responsibilities
- Lead strategic initiatives that have a direct business impact, such as introducing new pricing models or new benefit structures.
- Own AI-related pricing initiatives by working with Analytics and Product teams to adapt AI use cases for discounting and pricing decisions.
- Convert complex business needs into technical specifications for Product teams so pricing tools remain scalable and effective.
- Design, run, and interpret A/B experiments to continuously improve pricing and discount performance.
- Maintain and continuously improve the company's global pricing toolkit and scale successful AI-based approaches such as anomaly detection, synthetic sampling, and predictive analytics.
Candidate profile
The company is looking for someone with a master's or bachelor's degree in Business, Statistics, Economics, or a closely related discipline. The expected background includes 2–3 years of experience in strategy consulting, investment banking, or a fast-moving technology environment.
Experience in pricing, business analytics, or strategy is preferred, especially where the candidate has helped build AI-driven solutions for business workflows. Strong analytical ability is essential, along with practical proficiency in Excel, SQL, Python or R, and Tableau.
The role also calls for a genuine interest in AI tools and automation, plus proven experience working across Product, Marketing, and Data Science in matrixed, fast-paced organizations. English fluency is required, along with the ability to translate business requirements into technical implications clearly.
What the company offers
- A chance to join one of Europe's fastest-growing technology companies during a period of strong expansion.
- Exposure to a highly international environment with more than 90 nationalities represented.
- A competitive compensation package, including a subsidized pension scheme, relocation support for Berlin, and a hybrid working setup.
- Discounts on weekly HelloFresh boxes and office meals.
- An annual learning and development budget, a budget for German language learning, and access to HelloFresh Academy.
- Well-being and lifestyle support, including mental health resources, transportation benefits, and family-friendly policies.
- Additional perks such as 24/7 gym access, wellbeing platforms like Headspace and Spill, and sabbatical leave options.
Application note
Applicants are expected to include salary expectations and their earliest possible start date with the application.
Additional information
This is a full-time, onsite position based in Berlin, Germany.
No number of openings, exact salary, or start date was provided in the source information.
The submission request also mentioned that the application will be reviewed by the team after submission.