Lifecycle Growth & Experimentation Lead

AVG; New York (NY); On-site; USD 160,000 - 185,000; Full time

Benefits offered by this job

401(k) match

Health insurance options

Disability coverage

Life insurance

Unlimited PTO

Job summary

Gen is seeking a Product Growth & Experimentation Manager, User Lifecycle, to drive user and revenue growth across the entire customer lifecycle on MoneyLion’s Growth & Retention team. This high-impact IC role leads the experimentation backbone and AI-driven decisioning, collaborating with Product, Engineering, Data Science, Analytics, and Lifecycle Journey Managers.

Onsite in NYC, with a strong emphasis on data-driven experimentation and scalable automation.

Qualifications

• 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 - 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.

Skills

Growth marketing

Experimentation

Marketing analytics

Automation platforms

A/B testing

Data-driven

Lifecycle optimization

Tools

Iterable

Braze

Hightouch

AID

Snowflake

Amplitude

Segment

Job description

Gen is seeking a Product Growth & Experimentation Manager, User Lifecycle, to drive user and revenue growth across the entire customer lifecycle on MoneyLion’s Growth & Retention team. This high-impact IC role leads the experimentation backbone and AI-driven decisioning, collaborating with Product, Engineering, Data Science, Analytics, and Lifecycle Journey Managers.

Onsite in NYC, with a strong emphasis on data-driven experimentation and scalable automation.