Job description

Role Description

As a Lifecycle Marketing Lead focused on onboarding, monetization, and retention, you will play a crucial role in shaping the customer journey and driving growth across Dropbox’s core business. You’ll lead a high-performing team of three lifecycle marketers and partner closely with product, growth, and campaign teams to design cohesive and personalized user experiences. Your work will directly impact activation, conversion, and retention through innovative lifecycle strategies and high-performing campaigns.

You’ll be responsible for defining strategic roadmaps, designing robust testing plans, measuring campaign performance, and implementing AI-powered personalization across the user lifecycle. This is a high-visibility role that sits at the intersection of product and marketing, reporting to the Global Head of Lifecycle Marketing.

Responsibilities

Lead lifecycle marketing strategy for onboarding, monetization, and retention across Dropbox products.
Manage and mentor a team of 3 lifecycle marketers, fostering a culture of experimentation, innovation, and performance.
Drive campaign development across email, in-product, and push channels using Iterable, with a strong emphasis on personalized experiences.
Build structured A/B testing plans and learning agendas to optimize messaging, timing, and channel mix.
Use CRM data and audience insights to develop segmentation strategies and audience sizing.
Partner cross-functionally with product, design, analytics, and integrated marketing to develop a unified customer journey.
Leverage AI and automation tools to deliver next-gen lifecycle experiences and improve operational efficiency.

Requirements

6+ years of experience in lifecycle, CRM, or growth marketing with a strong B2C focus.
Proven experience leading lifecycle strategy for onboarding, conversion, or retention.
2+ years of direct management experience with a track record of developing talent.
Proficiency in Iterable (required) or similar platforms.
Strong analytical skills: ability to interpret campaign performance data, create hypotheses, and iterate based on insights.
Deep understanding of A/B testing methodology, experimentation frameworks, and performance-driven marketing.
Experience with CRM data, including segmentation, audience sizing, and campaign targeting.

Preferred Qualifications

Experience using AI-powered marketing tools or building AI-enhanced personalization.
Familiarity with growth-stage testing methodologies, including multi-touch attribution and LTV modeling.
Experience working in a fast-paced, cross-functional tech environment.
Background in product-led growth or close collaboration with product teams.