Growth Manager, Customer Engagement

Block•Bay Area, CA, United States of America, CA

2d•$108,200 - $202,800•Remote

About The Position

The Cash App Engagement Marketing team builds deep, personalized relationships with our customers across their entire lifecycle, from sign-up through long-term habituation. We operate at the intersection of growth strategy, lifecycle execution, and product, and our work directly shapes how millions of customers discover Cash App, build daily habits with the product, and grow with us over time. We're looking for an Growth Manager focused on activation and habituation. This is not a traditional lifecycle marketing role. The shape of engagement marketing is changing fast. Personalization, AI decisioning, and in-app surfaces are reshaping how the work gets done, and this role sits at the front of that change. The candidates who thrive here bring analytical depth and an experimentation reflex alongside their marketing instincts. You'll work as part of a tightly integrated cross-functional team alongside Product, Engineering, ML, Design, and Analytics counterparts, chartered to drive conversion, activation, and habituation across the full Cash App customer journey. You'll operate more like a growth strategy owner than a campaign marketer: diagnosing funnel friction, sizing opportunities, designing rigorous experiments, and shipping fast. The experiments you run won't just shape our communications. They'll directly influence what gets built next.

Requirements

5+ years of experience in growth marketing, lifecycle marketing, CRM, growth strategy, business operations, growth product, or a consumer-facing analytical role
A track record of owning a growth area end-to-end, opportunity through measurable impact, with multiple cross-functional stakeholders
Strong analytical self-sufficiency. You can size an opportunity, build an impact model, and diagnose a funnel from first principles, without waiting on analytical support. Experience with data modeling or opportunity sizing frameworks required; proficiency with SQL and data visualization platforms (e.g. Tableau, Looker, Mode) strongly preferred
Deep experimentation experience. You know how to build an experiment backlog, design rigorous tests, and use results to drive compounding improvements
Hands-on experience with a CRM or marketing automation platform (e.g., Braze, Iterable, Salesforce Marketing Cloud), or strong reason to believe you'd ramp on one fast
Fluency with AI tools as a core part of how you work, with the ability to automate, accelerate, and scale output in ways that set a new standard for the team
Clear, structured, takeaway-first communication. You can translate complex analysis and ambiguous situations into crisp strategy and actionable recommendations

Nice To Haves

Experience with onboarding, activation, or referral programs specifically
Familiarity with regulated or trust-sensitive products (e.g., fintech, financial services, or healthcare)
Experience with incentive mechanics or in-app personalization

Responsibilities

Own activation and habituation outcomes end-to-end: define the opportunity landscape across the customer journey, set strategy, prioritize ruthlessly, and deliver measurable business impact
Operate as a peer to Product, Engineering, ML, and Design. Your experimentation learnings shape the product roadmap, not just the comms calendar
Run a high-velocity experimentation program across onboarding, post-onboarding upsell, contact opt-in, churn prevention, behavioral notifications, real-time intervention journeys, mobile wallet adoption, referrals, retention, and winback
Build and maintain a unified opportunity framework where every test is scored against expected impact and effort, prioritized agnostic of product or surface
Self-serve sophisticated analysis: sizing opportunities, diagnosing funnel friction, reading experiment results, and iterating without reliance on dedicated analytical partners. SQL fluency and data modeling intuition are core to this role
Push the frontier on AI decisioning and automation, and help define how engagement marketing evolves as AI moves further into the comms decisioning layer
Influence cross-functional strategy across Product, Analytics, Martech, Creative, and Brand, operating as a true peer of these teams, not a downstream of them