Senior Product Manager, Lifecycle

Change.org

Sr. Lifecycle Product Manager at Change.org focused on improving systems to activate and engage users.

Posted 4/27/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $152,500 - $179,500 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Benefits and perks also vary based on location.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

lifecycle marketingdata analysisautomation logicbehavioral event triggerssegmentation architecturedata pipelinesdeliverabilityA/B testingmultivariate testingpersonalization systems

Soft Skills

cross-functional collaborationcommunicationproblem-solvinganalytical thinkingcreativity