Senior Finance Analytics Engineer, AI Native

Life360

Senior Finance Analytics Engineer supporting data modeling, reporting, and designing data products for AI-native consumption at Life360. Collaborating with Finance and Accounting to define metrics and shape requirements.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $103,500 - $192,000 per yearWebsite

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Hard Skills

dbtSQLdata modelingreportingdata productssemantic modelingmetrics layer designtransformationsdocumentation patternsmodel versioning

Soft Skills

strong written communicationstakeholder engagementcollaborationattention to accuracyorganizational skillsproblem-solving

Tools & Technologies

DatabricksMetricFlowCubeClaude CodeCursorConfluenceAI toolingMCP servers

Industry Keywords

FinanceAccountinganalytics engineeringFP&AAI-native consumption modelmetrics definitionsdata contracts

Tech Stack

Tools & technologies

Amazon RedshiftSQL

About the role

Key responsibilities & impact

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.
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.
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.
Use AI tooling (Claude Code, Cursor, and our internal capabilities) as a daily part of your own development workflow.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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