Senior Lifecycle Marketing Manager

Remitly•Seattle, WA

4d•Hybrid

About The Position

Remitly is looking for a Senior Manager, Lifecycle Marketing to lead a high-performing team responsible for growing customer engagement, retention, and multi-product growth across global markets. You will set lifecycle strategy, mentor your team's capability, and raise the bar on experimentation and personalization — while also being willing to step in and execute campaigns directly when needed. You bring technical fluency in lifecycle platforms and latest ML-driven personalization approaches, and you operate at both the strategic and hands-on levels. You will report to the Director of Lifecycle Marketing and partner with Product, Engineering, Machine Learning, Analytics, PMM, and Regional teams. This is a hybrid role, requiring 3+ days a week working in our Seattle, WA headquarters.

Requirements

8+ years of lifecycle, CRM, growth, or retention marketing experience.
3+ years of people management experience, with experience developing teams.
Deep hands-on expertise in lifecycle tools (Braze or equivalent), including segmentation, journey orchestration, personalization logic, and QA.
Experimentation and analytical skills, including experience partnering with Analytics and ML teams.
Familiarity with predictive modeling concepts (churn, propensity, NBA) and experience applying model outputs to personalized communications.
Comfortable flexing between strategic leadership and tactical execution.
Strong cross-functional communicator who can influence Product, Engineering, and senior stakeholders.
Passionate about building scalable systems and growing others.

Responsibilities

Build clear ownership across lifecycle programs, coach ICs to strengthen strategic judgment, and improve on experimentation, measurement, and cross-functional influence.
Define end-to-end lifecycle roadmaps spanning engagement, retention, and winback. Ensure programs are aligned to measurable business outcomes and integrated into GTMs and product initiatives.
Step in to build, QA, and launch campaigns when capacity demands it.
Maintain hands-on fluency in tools (e.g., Braze), segmentation logic, personalization frameworks, and multi-channel orchestration.
Partner with Machine Learning and Analytics to translate churn models, propensity models, and Next Best Action models into relevant lifecycle journeys. Ensure model insights are operationalized across communications.
Champion incrementality testing, holdout frameworks, and long-term value measurement (LTV/NPV). Ensure the team optimizes for durable customer value — not just engagement metrics.