Product Growth & Experimentation Manager, User Lifecycle

Gen Digital Inc.•New York, NY

2d•$160,000 - $180,000•Hybrid

About The Position

This role is for a Product Growth & Experimentation Manager, User Lifecycle on MoneyLion’s Growth & Retention team, driving user and revenue growth across the entire customer lifecycle. The team is customer-obsessed and data-driven, focused on delivering exceptional user experiences while unlocking meaningful monetization opportunities. The mission is to balance user value and business performance by refining how, when, and where users are engaged from activation through monetization, retention, and expansion. This role sits at the intersection of product, growth, and experimentation, owning the experimentation and automation backbone for lifecycle journeys. This includes the testing framework for incremental impact and the decisioning/automation layer (AID, Hightouch, Iterable) for personalized engagement at scale. The role involves setting objectives and guardrails for AI decisioning and agents, designing experiments, and translating results into automation improvements. It is a high-impact individual-contributor role requiring close collaboration with Product, Engineering, Data Science, Analytics, Creative, and lifecycle journey managers. Success requires strong strategic thinking, flawless execution, and a proactive mindset to drive initiatives contributing to long-term growth objectives.

Requirements

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.

Responsibilities

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 by analyzing user funnels, executing A/B tests, and optimizing journeys to maximize conversion, monetization, and retention.
Champion a test-and-learn culture by driving experimentation, promoting data-first thinking, and leading 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.