Manager, Data Analytics

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 91.6 million monthly active users (MAU), as of September 30, 2025, 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. 

The Locations Analytics team is at the heart of Life360's core product experience, partnering deeply with the Locations Operating Group to unlock insights from billions of location events. As a specialized team within our broader Data & Analytics organization, we serve as strategic thought partners—combining deep domain expertise in geospatial analytics with strong cross-functional relationships across Product, Engineering, and Data Science. We don't just report on what happened; we shape what happens next by turning location data into actionable insights that improve how families stay connected and safe.

The Manager of Locations Analytics is a player/coach role that blends strategic leadership with hands-on analytics work. You'll lead a small team of product analysts (with growth potential) while staying deeply involved in critical analyses, complex experiments, and high-visibility projects. Partnering closely with Product, Engineering, Design, Data Science, and Marketing, you'll define success metrics, design experiments, and translate complex location data into insights that drive product strategy. The ideal candidate thrives in the intersection of doing and teaching—someone who can run a sophisticated causal analysis one day and coach an analyst through their first experiment design the next, all while building an experimentation culture that delivers measurable business impact.

For candidates based in the US, the salary range for this position is $148,000 to $218,500 USD. 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.

Team Leadership & Development

• Manage, mentor, and grow a team of product analysts, fostering a culture of curiosity, rigor, and data-driven decision-making
• Develop team members' technical and strategic skills, creating clear career progression paths

Strategic Partnership & Influence

• Partner with Product, Engineering, Design, and Marketing leaders to define success metrics, set KPIs, and establish growth targets for location-based features
• Influence product roadmap decisions through compelling data narratives and strategic recommendations
• Serve as the analytics thought leader for the Locations Operating Group, translating complex location patterns into actionable product insights

Measurement & Experimentation

• Design and execute comprehensive experimentation roadmaps, including A/B tests, feature rollouts, and causal analyses
• Build and maintain testing frameworks that enable the organization to learn quickly and ship confidently
• Define and monitor North Star metrics and success criteria for location product initiatives

Analysis & Insights

• Conduct deep-dive analyses on user behavior, feature performance, and product health metrics
• Transform billions of location events into clear insights about how families use Life360
• Present findings and recommendations to senior leadership with clarity and conviction

Operational Excellence

• Develop scalable dashboards, reports, and self-service analytics tools that democratize data access
• Stay current on industry trends in product analytics, experimentation methodologies, and location-based technologies
• Continuously improve team processes, tools, and best practices

Experience

• 7+ years in product analytics, data science, or related field
• 2+ years managing and developing analytics teams
• Deep experience in a B2C subscription or mobile app business, with demonstrable understanding of subscription metrics (retention, churn, LTV, cohort analysis)
• Proven track record building and scaling experimentation cultures that drive product decisions

Technical Expertise

• Expert-level SQL for complex data manipulation and analysis
• Proficiency in Python, R, or similar programming languages for statistical analysis
• Strong experience with modern data visualization tools (Tableau, Looker, or similar)
• Deep understanding of experimentation methodologies: A/B testing, causal inference, statistical significance, and experiment design
• Familiarity with product analytics platforms (e.g., Amplitude, Mixpanel, Segment)
• Experience with cloud data warehouses (Snowflake, Redshift, BigQuery, or Databricks)

Core Competencies

• Analytical rigor: Ability to transform ambiguous questions into structured analyses and turn complex data into clear, actionable insights
• Executive communication: Exceptional ability to present technical findings to non-technical audiences, including senior leadership
• Strategic thinking: Track record of connecting insights to business strategy and influencing high-stakes product decisions
• Cross-functional influence: Success building relationships and driving alignment across Product, Engineering, Data Science, and Marketing teams without formal authority
• People leadership: Demonstrated ability to recruit, develop, and retain top analytics talent while fostering inclusive, high-performing team cultures

Preferred Qualifications

• Experience with geospatial or location-based analytics
• Background in mobile app product analytics
• Experience with machine learning or predictive modeling
• Bachelor's degree in Economics, Quantitative Social Science, Statistics, Computer Science, or related quantitative field (Master's degree a plus, but not required—we value demonstrated skills and impact over credentials)

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer 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.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

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. 

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

____________________________________________________________________________