Senior Lifecycle Strategy Manager
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2025-12-27
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IT/Tech
Data Analyst, Data Scientist, AI Engineer
About Life
360
Life
360’s mission is to keep people close to the ones they love. Our category-leading mobile app and Tile tracking devices empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life
360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life
360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family).
Life
360 has more than 500 (and growing!) remote-first employees. For more information, please visit
Life
360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
Life
360 is transforming how we engage our members: moving from calendar-driven campaigns to intelligent, always-on lifecycle experiences. We're building a "Scale Engine" powered by predictive models, automation, and AI-driven decisioning that delivers the right value to members at moments that matter.
As a Senior Lifecycle Strategist, you'll architect end-to-end member journeys across our people, pets, and things ecosystem. You'll define the global logic – the "who, when, and why" – of customer journeys and program the machine by setting the rules. This is a strategic role focused on behavioral engineering, orchestration logic, and experimentation design. You'll own critical lifecycle outcomes, from onboarding and activation to monetization and retention, designing the blueprints that drive personalized, automated experiences at scale.
The core mandate and focus of this role involves defining the global strategy of our customer journeys through Strategic Blueprint Definition
, which maps out who should receive what experience, when, and why. This is executed via Orchestration & Logic
, where the automation system is programmed by setting behavioral rules, triggers, and sequencing logic that drive measurable customer actions such as activation, habit formation, feature adoption, and renewal. Furthermore, the role requires Behavioral Engineering to design programmatic decision trees and conditional logic that enable the system to autonomously deliver the right experience at the right moment.
The US-based salary range for this position is $140,500 to $204,500. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What You’ll Do Design Master Journey Blueprints- Define customer needs, map journey logic, and set experimentation hypotheses for all new and evergreen lifecycle programs
- Architect complete lifecycle journeys across device-first and app-first experiences for our global audience (onboarding, engagement, monetization, retention, winback)
- Contribute to building global master blueprints and reusable, modular content templates for adoption across markets
- Identify behavioral triggers, inflection points, and moments that matter in the member experience
- Partner with Growth Data Scientists and Analysts to design rigorous test methodologies with clear hypotheses and success metrics
- Translate causal analysis results (LTV impact, incrementality) into new global "recipes" that can be scaled
- Own an aggressive testing roadmap (10+ experiments per quarter) focused on learning and optimization
- Interpret results through the lens of Customer Lifetime Value (LTV) and Average Revenue Per User (ARPU) drivers
- Collaborate…
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