Remote opportunity at
Life360Staff Decision Scientist, Direct Revenue (AI Native)
Life360 seeks a Staff Decision Scientist, Direct Revenue (AI Native) to act as an analytical partner to executives managing the subscription business. Life360 operates a category-leading…
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About This Role
Life360 seeks a Staff Decision Scientist, Direct Revenue (AI Native) to act as an analytical partner to executives managing the subscription business. Life360 operates a category-leading mobile application, Tile tracking devices, and Pet GPS trackers, serving over 107 million monthly active users globally. In this position, the professional will shape subscription packaging and pricing, evaluate monetization opportunities, guide international market expansion, and measure what drives user retention and conversion. The…
Job Description
Life360 seeks a Staff Decision Scientist, Direct Revenue (AI Native) to act as an analytical partner to executives managing the subscription business. Life360 operates a category-leading mobile application, Tile tracking devices, and Pet GPS trackers, serving over 107 million monthly active users globally. In this position, the professional will shape subscription packaging and pricing, evaluate monetization opportunities, guide international market expansion, and measure what drives user retention and conversion. The role requires applying causal inference, statistical analysis, and executive communication to influence major strategy decisions. Working within a 60-plus person Data & Analytics organization, the professional will utilize AI tooling daily as a working partner for analysis and experiment readouts while mentoring other decision scientists. Candidates must bring extensive analytics experience within consumer technology alongside expertise in subscription monetization.
Responsibilities
- Partner with senior executives managing subscription revenue to provide evidence-backed monetization strategies
- Lead analyses regarding pricing tiers, paywalls, free trials, and upgrade or downgrade paths
- Size and test new revenue opportunities and product bundles across the mobile application and tracking hardware
- Guide international market expansion by assessing local willingness-to-pay, retention, and conversion metrics
- Employ A/B testing, pricing experiments, and causal inference methods to measure user conversion and lifetime value
- Drive the adoption of AI tools and agent workflows to streamline monetization analysis and self-serve capabilities
- Challenge assumptions, manage stakeholder expectations, and communicate clear analytical recommendations
- Mentor decision scientists on causal rigor, problem framing, and executive communication
Requirements
- Eight or more years of experience in an analytics, data science, or decision science role at a consumer technology company
- Direct working experience with subscription monetization, covering pricing, packaging, paywalls, churn, or conversion
- Demonstrated practical experience applying causal inference techniques such as instrumental variables, difference-in-differences, regression discontinuity, synthetic controls, or propensity score matching
- Proven track record of partnering with executives and influencing major strategic or revenue decisions
- Experience designing and analyzing monetization or pricing experiments using platforms like Optimizely or Statsig
- Proficiency in Python or R for statistical analysis, alongside SQL expertise
- Experience mentoring analysts or data scientists
Qualifications
- Advanced degree in a quantitative academic field such as economics, statistics, quantitative social science, or operations research
- Experience working with multi-tier or freemium subscription models
- Experience managing international pricing or multi-market product launches
- Familiarity with marketplace and pricing analytics
- Background building dbt models or contributing to analytics engineering workflows
- Experience working with hardware-plus-subscription bundles
- Familiarity with willingness-to-pay research methods, including Van Westendorp or conjoint analysis, and lifetime value modeling
Core Skills
Benefits
- Medical, dental, vision, life, and disability insurance plans
- Retirement savings program with company matching options
- Paid parental leave
- Mental Wellness Program and Employee Assistance Program
- Flexible paid time off, companywide holidays, and seasonal winter and summer shutdowns
- Learning and development programs
- Equipment, tools, and reimbursement support for remote work
- Free Life360 Platinum Membership and Tile trackers
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location policy for this role?
The position is remote-first, allowing employees to work remotely within the United States and Canada.
What is the salary range for this position?
For US-based candidates, the salary range is USD 118,500 to 218,500 per year, while Canadian candidates have a range of 164,000 to 193,500 CAD. Total compensation also includes equity in the form of Restricted Stock Units and benefits.
How is AI used in this role?
Life360 operates as an AI-native company. Employees in this position use AI tools daily as working partners for SQL, Python or R analysis, experiment readouts, and drafting leadership memos while retaining full ownership and accountability for accuracy.
Sample Interview Questions
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