We’re looking for a Senior Product Manager to take full ownership of recommendations and personalisation across the Moonpig customer journey - from first interaction through to checkout.
This is a hands-on senior individual contributor role sitting in our Product team, reporting directly to our Director of Product. You’ll work closely with Data Scientists, ML Engineers and commercial partners to define and deliver data-powered experiences that meaningfully improve customer engagement, conversion and revenue.
Moonpig has millions of customer interactions and rich behavioural data and this role is all about how we unlock its potential. You’ll lead the vision, strategy and roadmap for recommendations and ranking, helping us move to genuinely intelligent, personalised experiences at scale.
This role is ideal for a product leader who understands machine learning and personalisation deeply, but whose strength is shaping problems, setting direction and driving outcomes.
Key Responsibilities
* Own Moonpig’s personalisation strategy, defining a clear approach across segmentation, propensity modelling, recommendations, ranking and lifetime value.
* Lead the recommendations and ranking roadmap from vision through to delivery, experimentation and iteration.
* Translate business objectives into clear data product outcomes, KPIs and success metrics (e.g. conversion, AOV, retention, incremental revenue).
* Prioritise data science initiatives across areas such as CRM and Attach, ensuring effort is aligned to business impact.
* Partner closely with Data Scientists to shape problem statements, define success metrics and guide delivery priorities.
* Collaborate with Data and ML Engineers to ensure models are production-ready, well-monitored and supported by strong feedback loops.
* Communicate complex data concepts and model trade-offs in clear, commercially grounded language to senior stakeholders.
* Represent recommendations and personalisation in roadmap planning, quarterly reviews and executive updates.
About you
* Proven experience as a Senior or Lead Product Manager owning data or ML driven products.
* Hands-on experience with recommendations, ranking, personalisation or decisioning systems (e.g. targeting, dynamic content, martech).
* Strong technical fluency, including an understanding of data pipelines, feature engineering and the ML model lifecycle.
* Familiarity with common data science techniques such as segmentation, propensity modelling, collaborative filtering, ranking models and bandits, and the trade-offs involved.
* Experience shaping and leading the work of Data Scientists within cross-functional teams (line management not required).
* A track record of delivering clear commercial impact in an e-commerce, subscription, marketplace or similarly outcome-driven environment.
* Comfortable using SQL and BI tools to self-serve insights, validate hypotheses and inform decisions.
* A strong grasp of experimentation and A/B testing, including experiment design, sample sizing and common pitfalls.
* Commercially minded and outcome-focused, able to translate complex technical concepts into clear, business-relevant language.
* Curious, pragmatic and collaborative, with an experiment-led mindset and confidence influencing senior stakeholders.
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