Marketing Manager, Lifecycle

Overview

Have you got what it takes to succeed The following information should be read carefully by all candidates.

In this role, you will own the seller lifecycle programs across email, SMS, and push, turning strategy into hands-on campaigns in Iterable. You’ll build audiences, journeys, triggers, and experiments, and lead QA, measurement, and optimization. AI will be embedded throughout your work to boost speed, quality, and impact. You’ll partner with analytics, operate end-to-end, and continuously improve the seller engagement experience to drive business outcomes.

Responsibilities
• Translate lifecycle priorities into multi-channel campaigns across email, SMS, and push
• Build and optimize journeys, audiences, triggers, and channel plans
• Develop and manage a testing roadmap with hypotheses and experiments
• Analyze campaign and funnel performance and translate insights into recommendations
• Collaborate with Analytics/Data Science and own execution beyond basic metrics (outcomes like assessments, offers, contracts)
• Maintain accuracy and hygiene of audiences, suppressions, triggers, and personalization; ensure clean production readiness
• Hands-on use of Iterable to create campaigns, journeys, templates, and experiments; troubleshoot issues
• Leverage AI to enhance execution, QA, analysis, and automation across the program

Key requirements
• Hands-on experience with Iterable, Braze, , Klaviyo, or similar multi-channel platforms; Iterable preferred
• Strong lifecycle fundamentals: segmentation, personalization, triggers, journey design, suppression, cadence, and multi-channel execution
• Proven ability to design and execute meaningful experiments and maintain a robust test-and-learn mindset
• Strong analytical instincts and ability to interpret campaign and funnel performance xklufbp
• Excellent attention to detail across audiences, links, personalization, rendering, QA, and production readiness
• Problem-solving ability to troubleshoot HTML/email-template issues
• Proficient in AI usage within daily workflows to improve speed, quality, and outcomes
• Strong cross-functional communication and collaboration skills
• Ability to translate ambiguous problems into concrete execution and testing plans
• cross-functional collaboration
• attention to detail
• problem-solving
• Iterable
• Braze
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