Senior 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 102.4 million monthly active users (MAU), as of June 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.

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.

The US-based salary range for this position is $194,834 to $250,000 per year. 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. 

• →Develop and standardize metrics and deep-dives to understand overall business performance, and deliver actionable insights that optimize company strategies. 
• →Collaborate with cross-functional teams – including Product Management, Marketing, Engineering, Data Science, and Data Engineering – to analyze user behaviors, customer funnels, pricing and positioning, and forecast key metrics. 
• →Develop business insights that guide improvements in business performance, user engagement, retention, and churn reduction. 
• →Deliver proactive and strategic research and analysis aligned with company goals. 
• →Conduct customer deep-dives and forecasting based on internal and external data. 
• →Provide research support for cross-functional initiatives and business development activities. 
• →Benchmark Life360's performance against competitors. 
• →Establish and improve processes for ongoing intelligence gathering. 
• →Communicate findings and present reports to executive stakeholders. 
• →Select and implement tools and technologies that enhance analytical capabilities. 
• →Stay informed on industry trends and continuously improve methodologies and tools. 
• →May telecommute. 
• →10% domestic travel required.

• Employer will accept a Bachelor's degree in Computer Science, Data Analytics, or related field and 84 months of progressive experience in the job offered or a data analytics related occupation.

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