Product Growth & Experimentation Manager, User Lifecycle

Gen

Product Growth & Experimentation Manager leading growth and retention initiatives for Gen's MoneyLion platform. Focused on experimentation, user engagement, and revenue growth across the customer lifecycle.

Posted 7/28/2026full-timeNew York City • New York • 🇺🇸 United StatesSeniorLead💰 $160,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in growth marketing and experimentation, with a strong focus on incrementality design, attribution, and lifecycle optimization. Proficient in utilizing marketing automation tools and data analytics to drive measurable business outcomes and enhance user experiences.

Highest-signal resume keywords

Growth MarketingExperimentation ExpertiseMarketing Automation PlatformsData AnalysisLifecycle Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Incrementality DesignAttributionSegmentationCohort AnalysisRetention ModelingLifetime Value (LTV) FrameworksA/B TestingUser Funnel AnalysisDecisioning AutomationStatistical Rigor

Soft Skills

Strong CommunicationEntrepreneurial MindsetOwnership and AccountabilityProblem SolvingInitiative

Tools & Technologies

IterableBrazeHightouchAIDSnowflakeAmplitudeSegment

Industry Keywords

Marketing AnalyticsProduct-Led GrowthExperimentation FrameworkData-First ThinkingTest-and-Learn Culture

About the role

Key responsibilities & impact

Build and own MoneyLion’s experimentation framework - holdouts, CRO, and A/B testing - and the incrementality and attribution methodology used across every lifecycle pillar (activation, monetization, retention, expansion).
Own the decisioning / automation layer: AID / Hightouch orchestration, eligibility, frequency, routing, and guardrails feeding Iterable, in-app, and ads.
Independently lead high-impact, cross-functional initiatives across multiple growth and monetization touchpoints in the MoneyLion experience.
Enhance performance - analyze user funnels, execute A/B tests, and optimize journeys to maximize conversion, monetization, and retention.
Champion a test-and-learn culture - drive experimentation, promote data-first thinking, and lead innovation to accelerate growth.
Partner with each lifecycle journey manager to design tests that prove (or disprove) decisioning lift versus business-as-usual, and translate readouts into concrete automation improvements.
Support monetization and pricing decisions across first purchase, upsell, retention, and reactivation experiences with rigorous experiment design and clean reads.
Supervise and continuously improve the AI agents (rapid response, monitoring & forecasting, quality supervision) and set the guardrails they operate within.
Proactively identify opportunities and solve business, data, and technical challenges without needing step-by-step direction.

Requirements

What you’ll need

7+ years in growth marketing, product-led growth, marketing analytics, experimentation, or marketing automation / martech, with a track record of driving measurable business outcomes.
Deep experimentation expertise - incrementality design, attribution, and the statistical rigor to interpret significance and guide decisions.
Hands-on experience with marketing automation / decisioning platforms (Iterable / Braze, Hightouch, AID, or similar) and a modern data stack (Snowflake, Amplitude, Segment).
Proven ability to scale revenue and user base through lifecycle optimization and data-informed product enhancements.
Advanced experience with segmentation, cohort analysis, retention modeling, and lifetime value (LTV) frameworks.
Entrepreneurial mindset - thrives in ambiguity, operates with urgency, prioritizes impact over process, and pushes initiatives forward without waiting for perfect clarity.
Strong communicator able to distill complex data and measurement into clear, compelling stories for stakeholders and executives.
Operates with full ownership and accountability - takes initiative, removes blockers, and sees projects through from start to finish.
Comfort operating AI / ML decisioning and supervising AI agents and automated workflows.

Benefits

Comp & perks

401(k) match
Health insurance options
Disability coverage
Life insurance
Unlimited paid time off