Moonpig

Senior Product Manager, Recommendations – Personalisation

Moonpig

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

SQL

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts.
  • Private healthcare (UK), mental health support & dog-friendly offices (London & NL).
  • Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working.
  • Learning allowances, coaching & development programs.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
personalisation strategysegmentationpropensity modellingrecommendationsrankinglifetime valuedata pipelinesfeature engineeringML model lifecycleA/B testing
Soft Skills
communicationcollaborationleadershipcommercially mindedoutcome-focusedcuriouspragmaticinfluencingexperiment-led mindsetproblem-solving