Life360 - Senior Finance Analytics Engineer, AI Native
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Requirements
• 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. • 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. • 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.
Responsibilities
• 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.
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.
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