Note: The job is a remote job and is open to candidates in USA. Change.org is searching for a Sr. Lifecycle Product Manager to join their Product team. The role involves building personalized lifecycle systems to engage users and enhance their connection to the platform, utilizing AI to develop civic tools that promote democracy.

Responsibilities

• Ship meaningful improvements to lifecycle infrastructure that expand the team’s ability to execute campaigns at scale
• Establish an experimentation program with clear testing cadence, AI-assisted workflows, and documented hypotheses tied to starter and supporter lifecycle stages and insights
• Expand and evangelize lifecycle data and reporting to give the LCM team and cross-functional partners visibility into engagement, activation, and retention performance
• Implement AI-powered capabilities into the lifecycle program with documented performance baseline and iteration plan
• Build strong cross-functional partnerships with product, engineering, data science, design, and marketing to unlock bigger, bolder product ideas

Skills

• 4-6 years of overall product growth, and/or marketing experience, with at least 4 years of lifecycle experience
• Experience in retention strategy, churn reduction, customer lifecycle, and multi-channel messaging strategy (e.g. SMS, push, email)
• Lifecycle systems and technical infrastructure: experience owning the technical engine behind lifecycle programs, including automation logic, behavioral event triggers, segmentation architecture, data pipelines, and deliverability
• Comfortable living in the tooling (Iterable is a plus) and making it more powerful over time
• Multi-channel lifecycle knowledge: fluent in how email, push, in-app and SMS work together across a user journey
• Data fluency: uses AI to independently explore, analyze, and report on lifecycle data, and knows when to bring in data science for deeper modeling
• Translates findings into clear, actionable recommendations and roadmap updates
• Experimentation expertise: Can develop and scale experimentation frameworks (A/B and multivariate testing) from hypothesis to analysis and business impact
• Builds infrastructure to make experimentation fast and repeatable
• AI and ML collaboration: experienced working with engineers and data scientists to implement personalization systems, and is technical enough to be a strong partner to these roles
• Experience managing a technical email roadmap with engineering
• Strong preference for a PM or product-adjacent background with a desire to operate in a product-led culture
• Iterable experience (or comparable platform) as a lifecycle/email marketing platform is a plus

Company Overview

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