Senior PM, Audience Lifecycle & Growth — Remote

NPR; United States; Remote; USD 133,000 - 152,000; Full time

Job summary

NPR is seeking a seasoned product manager to own the audience lifecycle and martech roadmap. You will partner with Data, Editorial, Marketing, Design, Engineering, and Product to replace manual campaigns with scalable, AI-enabled processes across email acquisition, re-engagement, and donation conversion.

The role emphasizes data-driven experimentation, cross-team alignment, and governance of activation tools, with remote-permitted work options within the United States.

Qualifications

• Must have 5+ years of digital product management experience.
• Experience managing enterprise marketing automation platforms or CDPs.
• Ability to translate cross-department requirements into user stories and roadmaps.
• Experience leading technical software migrations or enterprise tool rollouts.
• Strong data-informed product development and analytics experience.

Responsibilities

• Lead the product roadmap for NPR’s audience lifecycle and martech ecosystem.
• Build and operationalize internal audience activation tools with self-serve workflows.
• Design scalable automation rules to optimize the listener journey and donations.
• Collaborate with Data to improve CDP segmentation and attribution modeling.
• Drive development for the NPR editorial newsletter platform with newsroom partners.
• Evaluate and deploy AI and automation within lifecycle workflows.

Skills

Systems Thinking

Tooling enablement

Data literacy

Cross-functional collaboration

Iterative problem solving

Education

Bachelor’s degree or equivalent

Tools

Salesforce Marketing Cloud

Piano.io

Braze

Segment

Job description

NPR is seeking a seasoned product manager to own the audience lifecycle and martech roadmap. You will partner with Data, Editorial, Marketing, Design, Engineering, and Product to replace manual campaigns with scalable, AI-enabled processes across email acquisition, re-engagement, and donation conversion.

The role emphasizes data-driven experimentation, cross-team alignment, and governance of activation tools, with remote-permitted work options within the United States.