Senior Finance Analytics Engineer, AI Native

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 97.8 million monthly active users (MAU), as of March 31, 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.

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 Finance Data Team sits at the intersection of Finance & Accounting teams and Life360’s data. We provide the data ingestion / processing / reporting needed by our partner teams in Finance & Accounting to enable their work and ensure SOX compliance with rigor. We push the envelope on how work is done through implementation of AI tools and capabilities to enhance our own pace of development and capabilities that we deliver to our stakeholders.

About the Job

We are hiring a Senior Finance Analytics Engineer on the Finance Data Team to support data modeling, reporting, and designing data products for an AI-native consumption model.

Most analytics engineering teams design for humans writing SQL in a BI tool. We design for both humans and agents. Our models, metrics, and documentation are consumed by Finance & Accounting analysts, by Claude, and by agents working through MCP against our Databricks environment. Semantic clarity, metadata quality, model contracts, and the documentation flywheel across dbt, Databricks, Confluence, and the semantic layer all matter more in this environment than they do in most.

Your work will cover: dbt model design, semantic layer and metrics definitions, documentation, testing, and contributing to our AI native development capabilities. This is a senior individual contributor role. You will not be expected to build AI infrastructure or MCP servers, but you should understand how agents consume the data and documentation you produce, and design accordingly.

This role reports to the Senior Manager of Finance Analytics Engineering, supporting the Finance Data Team that owns the Finance Data Warehouse.

The US-based salary range for this position is $103,500 to $192,000. 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

Analytics Engineering

• Design