About Life360
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker 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. Life360 serves approximately 107.7 million million monthly active users (MAU), as of September 30, 2026, across more than 180 countries.
Life360 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 who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 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 and Canada) regardless of any specified location above.
We are AI Native
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
About The Team
The Data & Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML. The science teams are organized into two sub teams, focusing on MAU and Revenue. This role leads decision science and data science within MAU.
You and your team will be responsible for understanding the drivers behind MAU: why members come, why they stay, and why they return. The team partners with product, marketing, and engineering to put those learnings into everyday work, and that work shapes our roadmaps.
Our data is unusual for a consumer company. Life360 measures families and circles rather than individuals, so one member's behavior affects another's, which makes measurement a different problem than a standard funnel. With billions of location events, driving behavior, crash detection, and Tile and Pet GPS trackers, we get a rich picture of physical behavior that few consumer companies can build.
About the Job
This Senior Director leads MAU Analytics and Data Science.
You and your team will work across acquisition, activation, engagement, and retention on the analysis, models, and experiments behind each. A lot of what this role owns needs to be built rather than maintained: the measurement, the standards, and how the team uses AI. The team is also raising its craft, and coaching people through that is an important part of the job. Within a year, your team members will be operating at an elevated skill level, proactively bringing key questions to light, and serving as trusted advisors whom stakeholders consult for strategic guidance rather than simple task execution.
You will report to the Head of Data and work closely with counterparts leading Revenue Analytics and Data Science, and with the leaders of Data Engineering.
For candidates based in the US, the salary range for this position is $247,000 to $366,000 USD. For candidates based out of Canada, the salary range for this position is $286,000 to $339,000 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.
Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.
What You'll Do
- Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.
- Own the MAU driver model and the forecast.
- Own the exploratory work that drives the strategy to grow MAU.
- Establish how an analysis gets scoped, run, reviewed, and written up, so its quality does not depend on who picked up the request.
- Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.
- Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.
- Use agents and automated analysis daily, and expect the same of the team.
- Shape how the team works AI-native: what gets delegated to agents, what gets automated, and what stays human judgment.
What We're Looking For
Required Experience & Qualifications
- 10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.
- Deep expertise in inferential and causal analytics. Able to lead ML practitioners.
- Expert knowledge of engagement, retention, churn, and cohort metrics.
- Experience forecasting a company-level metric and being held to it.
- SQL, plus Python or R.
- Experience with Databricks, third party experimentation tools (e.g. Statsig), Tableau or similar BI tools, and AI native BI tools (e.g. Hex, AI/BI).
- Hands-on with coding agents (Claude Code or equivalent) in your own analytical work.
- Bachelor's degree or equivalent.
Nice to Have
- Familiarity with experiment design to identify and control for network effects.
- Master’s degree or PhD with an emphasis in social science, psychology or other behavioral science.
- Experience leading a team that reports to you but sits embedded with product and engineering teams.
- Experience in a B2C subscription business.
Core Expectations
- You have moved an analytics team from reactive to embedded.
- You coach and develop people, and you have grown analysts into leaders.
- On your teams, analysis starts from a hypothesis rather than a data request.
- You have built the standards a team works from, and got people to use them.
- You are curious about why people behave the way they do, not just what they did.
- You decide what the team does not work on, and you can defend it.
Our Benefits
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.
- 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
- Paid parental leave
- Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
- Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
- Learning & Development programs
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership and Tile trackers.
AI Usage: We use AI to help make our hiring process efficient. That said, every hiring decision is made by real Life360 hiring teams
Life360 Values
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference
- Be a Good Person - We have a team of high integrity people you can trust.
- Be Direct With Respect - We communicate directly, even when it’s hard.
- Members Before Metrics - We focus on building an exceptional experience for families.
- High Intensity, High Impact - We do whatever it takes to get the job done.
Our Commitment to Belonging
Life360 is an equal opportunity employer. We don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status. We believe diverse perspectives make us better, and we’re building a workplace that reflects the communities we serve. Don’t meet every qualification? Apply anyway.
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