Senior Product Manager

Senior Product Manager📍 Location: London, London, United Kingdom🏢 Industry: Software development💼 Work Setting: HybridAre you a data-driven Product Manager passionate about machine learning, recommendation engines, personalization, and customer experience optimization?We are seeking a Senior Product Manager to lead the vision, strategy, and execution of recommendation and ranking products that power customer experiences across the platform. This role sits at the intersection of Product, Data Science, Engineering, Analytics, Growth, and Commercial teams, driving algorithms that connect customers with the most relevant partners, restaurants, and products.The ideal candidate combines expertise in product management, machine learning products, experimentation, personalization, recommendation systems, customer analytics, and stakeholder management with a strong passion for solving customer problems through data-driven innovation.Key ResponsibilitiesProduct Strategy & VisionDefine and own the product vision, strategy, and roadmap for recommendation and ranking systems.Align product priorities with customer, business, commercial, and operational objectives.Develop strategic plans that improve customer engagement and business performance.Drive long-term innovation within personalization and recommendation platforms.Identify opportunities to create competitive advantage through intelligent product experiences.Recommendation & Ranking ProductsLead products focused on:Homepage RankingRestaurant RecommendationsPersonalized Discovery ExperiencesPartner RecommendationsCustomer PersonalizationSponsored Placement OptimizationRevenue Optimization AlgorithmsEnsure recommendation systems deliver highly relevant and engaging customer experiences.Machine Learning Product ManagementCollaborate closely with:Data ScientistsMachine Learning EngineersSoftware EngineersAnalytics TeamsDefine business requirements for ML-driven solutions.Translate customer and business needs into algorithmic products.Prioritize model improvements and experimentation opportunities.Bridge technical and non-technical stakeholders.Customer Behavior AnalysisDevelop a deep understanding of customer behavior and decision-making patterns.Analyze customer journeys and engagement metrics.Identify opportunities to improve customer discovery and conversion.Use quantitative and qualitative insights to guide product decisions.Support customer-centric product innovation.Data Analysis & InsightsLeverage data to identify trends, opportunities, and performance gaps.Analyze large datasets to understand recommendation effectiveness.Monitor business impact of ranking and recommendation changes.Drive data-informed decision-making across product initiatives.Evaluate product success through clear performance measurement.Experimentation & A/B TestingDesign and execute A/B tests to validate product hypotheses.Develop experimentation frameworks for recommendation and ranking systems.Measure customer, operational, and commercial outcomes.Use experimentation results to refine product strategies.Promote a culture of evidence-based product development.KPI Ownership & Performance ManagementDefine and monitor key performance metrics, including:Customer MetricsEngagementConversion RatesRetentionCustomer SatisfactionMarketplace MetricsPartner VisibilityCustomer Matching QualityOrder GrowthCommercial MetricsRevenue GrowthSponsored Product PerformanceAdvertising RevenueOperational MetricsRecommendation QualityAlgorithm PerformanceMarketplace EfficiencyProduct DiscoveryLead discovery activities to uncover customer and business needs.Conduct:User ResearchData AnalysisCompetitive AnalysisMarket AssessmentsValidate opportunities before development begins.Prioritize initiatives based on business value and customer impact.Backlog & Delivery ManagementOwn and prioritize the product backlog.Balance customer needs, technical constraints, and business priorities.Work within Agile product development environments.Ensure timely and effective feature delivery.Drive alignment across cross-functional teams.Stakeholder CommunicationCommunicate product vision, priorities, and outcomes to stakeholders.Present recommendations and product strategies to leadership.Build alignment across:EngineeringData ScienceGrowth TeamsCommercial TeamsExecutive LeadershipEnsure transparency throughout the product lifecycle.QualificationsExperienceRequiredProven Product Management experience managing data-driven products.Experience building and managing:Recommendation SystemsPersonalization ProductsSearch ProductsRanking AlgorithmsMachine Learning-Based SolutionsExperience working with engineering and data science teams.Experience delivering products in Agile environments.Technical & Analytical SkillsProduct ManagementProduct StrategyRoadmap DevelopmentProduct DiscoveryBacklog ManagementStakeholder ManagementMachine Learning & Data ScienceRecommendation SystemsRanking AlgorithmsPersonalizationMachine Learning ConceptsData-Driven Product DevelopmentAnalyticsKPI DevelopmentCustomer AnalyticsBehavioral AnalysisExperiment DesignPerformance MeasurementExperimentationA/B TestingHypothesis TestingProduct OptimizationStatistical ThinkingProfessional SkillsStrategic ThinkingCustomer ObsessionAnalytical Problem SolvingCommunication & InfluenceCross-Functional LeadershipDecision MakingCollaborationInnovation MindsetCore CompetenciesProduct ManagementRecommendation SystemsRanking AlgorithmsPersonalizationMachine Learning ProductsData Science CollaborationCustomer AnalyticsA/B TestingProduct StrategyUser Behavior AnalysisGrowth OptimizationMarketplace OptimizationRevenue OptimizationAgile Product DevelopmentStakeholder Management