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. 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) 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 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 and build dbt models that serve as the source of truth for Finance & Accounting reporting, planning, and analysis. Partner directly with stakeholders in Finance, Accounting, Revenue, and FP&A to define metrics, shape requirements, and translate business logic into well-structured models. Write and optimize complex SQL against our Databricks environment with attention to accuracy. Uphold and evolve patterns for model design, testing, versioning, and data contracts across the dbt project. Designing for AI Consumption Design the semantic layer and metrics definitions (MetricFlow, Cube, or equivalent) that both humans and agents query against. Drive the documentation flywheel across dbt, Databricks, Confluence, and the semantic layer so that models, columns, and metrics are legible to LLMs and analysts alike. Design model grain, naming, and structure so an agent can find what it needs in the warehouse without a human guide. Use AI tooling (Claude Code, Cursor, and our internal capabilities) as a daily part of your own development workflow, and feed real signal back to the team on what design choices make agents more or less effective. Operations & Compliance Build and operate within our SOX-controlled CI/CD environment, with no direct human touches to production. Maintain documentation and auditability of the data pipelines you own. Participate in code review and approval workflows for SOX-controlled change management. AI / LLM Usage The Finance Data Team leverages LLM’s to support code generation, analysis, and other use cases. Cursor / Claude Code. Other tools (Wispr Flow, Claude & Claude Cowork, Gemini / Codex). Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing - owning the outputs as your own. Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment. What We’re Looking For Required Experience 4+ years of analytics engineering experience, including deep hands-on work with dbt (dbt core strongly preferred). 4+ years of SQL experience in an MPP environment (Databricks, Snowflake, Redshift, Trino, or equivalent), with a strong track record of writing performant and maintainable transformations. 1+ years designing data products for AI consumption: semantic layer work, MetricFlow or Cube, metrics definitions, model contracts, or documentation patterns built with LLM consumers in mind. Hands-on experience using Claude Code, Cursor, or equivalent AI-enabled development tools as part of your daily workflow. Strong command of semantic modeling and metrics layer design. Designing dbt projects at scale: model organization, testing strategy, documentation standards, model versioning, and contracts. Familiarity with MCP servers and how agents consume warehouse data and metadata, enough to design models and docs that work well for both humans and agents. Strong written communication: you can write documentation that a stakeholder, a teammate, or an LLM can all use effectively. Finance or Accounting domain experience. Additional Preferred Experience Working in a SOX-controlled environment with formal change management. 1+ years of Python for scripting, API integration, and automation. 1+ years of Airflow. Databricks platform specifically, including Unity Catalog. Familiarity with Terraform, GitHub Actions, or Atlantis for infrastructure and CI/CD. What Sets You Apart You think about data models as products with consumers, and you treat documentation and semantic clarity as part of the deliverable rather than an afterthought. You have opinions about what makes a warehouse legible to an agent, and you can defend them. Soft Skills Comfort with ambiguity and the judgment to make progress when requirements are not fully defined. Ability to translate technical concepts for Finance & Accounting stakeholders who may not have a technical background. Self-direction: you can spot what needs doing and move it without constant guidance. Strong collaboration across Data Engineering, AI Engineering, and Finance teams. Our Benefits Competitive pay and benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Flexible PTO, 13 company-wide days off throughout the year Winter and Summer Weeklong Synchronized Company Shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership for your preferred circle Free Tile Products 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 Diversity 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 ____________________________________________________________________________