Staff Product Manager, Customer Decisioning & CLVActive$186K

We are hiring a Staff Product Manager to own and evolve HelloFresh's customer prediction and decisioning portfolio, the suite of ML products that forecast customer value and, increasingly, decide the next best action for every customer: the right action, message, or nudge, for…

What you'll do

• Own the vision, strategy, and roadmap for the customer prediction and: decisioning portfolio across the full customer lifecycle evolving it from a measurement layer that predicts value into a decisioning engine that prescribes and orchestrates the actions that create it. Decide not just what action, but where and when.

• Sense the opportunity and set direction: synthesize customer insight, commercial context, competitive signal, and ML advances into a clear, prioritized multi-quarter strategy then translate it into quarterly objectives the squad can execute.

• Run a predict-and-optimize portfolio: partner with Data Science to advance our CLV, propensity, and uplift models extending prediction horizons beyond the near term, moving from cohort-level to customer-level granularity, and adding action-value attribution then pair them with budget/constraint optimization so we spend each marketing dollar where it returns the most. Ensure outputs are relevant, timely, and fair across segments.

• Drive adoption of predictions as decisions: deepen how prediction outputs feed experimentation guardrails, CRM/communication decisioning, and growth & product strategy so models don't just inform analysis, they drive operational action.

• Scale decisioning across all markets and touch points, ensuring consistent,: explainable experiences customers understand and trust while navigating complex technical and operational trade-offs.

• Define success metrics that balance customer and business outcomes: satisfaction, retention, and engagement on one side; conversion, customer lifetime value, incremental lift, and ROI efficiency on the other and report directly on the outcomes that matter to both customers and the business.

What they're looking for

• Prioritize ruthlessly with rigorous product practices, balancing near-term: efficiency wins against long-term strategic capabilities, and making clear pragmatic calls between ML, GenAI, heuristics, and simple rules based on ROI, latency, and maintainability.
• Drive cross-functional alignment and adoption as a single-threaded leader: across Tribes and Alliances influencing without authority to get Commercial, Marketing, CRM, and Growth to converge on, trust, and adopt a unified decisioning strategy.