Senior Product Manager, Lifecycle

Job not on LinkedIn

🕒 April 27

🇺🇸 United States – Remote

💵 $152.5k - $179.5k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

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Change.org

WebsiteLinkedInAll Job Openings

51 - 200 employees

🌍 Social Impact

📱 Media

💰 $30M Series D - Change.org on 2017-05

Social Impact • Media

Change. org is a global online petition platform and public benefit corporation that helps individuals, communities, and organizations create, share, and promote petitions to drive social and political change. The site enables users to start petitions quickly, gather signatures from a large international audience, and connect with decision-makers and the media to influence policy and public opinion. Change. org emphasizes civic engagement and social impact, supporting campaigns across numerous countries and languages.

📋 Description

• 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.

🎯 Requirements

• 4-6 years of overall product growth, and/or marketing experience, with at least 4 years of lifecycle experience. • Strong preference for a PM or product-adjacent background with a desire to operate in a product-led culture. • Experience managing a technical email roadmap with engineering. • Iterable experience (or comparable platform) as a lifecycle/email marketing platform is a plus. • 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.

🏖️ Benefits

• Benefits and perks also vary based on location.