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We are hiring a Staff Product Manager to define and lead the vision for HelloFresh's Benefit Optimization platform—using intelligent technology to deliver the right benefit to the right customer at the right time.
You'll lead the Benefit Optimization squad—a team of Data Scientists and Machine Learning Engineers on a mission to develop technology that delivers the best possible benefits to our customers. Together, you'll build the AI-powered engine that transforms how HelloFresh personalizes value across millions of customers. In this role, you will evolve HelloFresh's benefit delivery from generic offers to sophisticated ML-powered recommendations that understand customer preferences and drive intended actions—transparently and ethically. Your scope spans the entire customer journey: from first discovery, to reacquisition and active retention.
You will advocate for a customer-centric product philosophy: treating optimization as a tool for empowerment rather than behavioral manipulation. By working backwards from user needs, you will ensure our AI helps customers make better-informed decisions. This commitment to trust and transparency is our primary lever for growth; when customers feel truly understood, it naturally drives long-term retention, higher order frequency, and brand advocacy.
You will serve as the voice of the customer across data science, engineering, and marketing teams—translating ML capabilities into customer-first experiences while maintaining rigorous standards around transparency, privacy, and fairness.
Interacting with front-end developers, designers, product managers and our teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as an ambassador to coach team members and stakeholders.
This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.
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