Teams at Life360

Partner with product, engineering, marketing, and finance to own analytical narratives and drive decisions. Design and run A/B tests and causal inference analyses, implement metrics and instrumentation, present clear recommendations to leadership, and help shape AI-native analytics tools and automation. Use SQL and Python/R for statistical analysis; not a production ML engineering role.

Partner with product, engineering, marketing, and finance to define high-impact analytical questions, establish causal measurement (A/B tests, causal inference), set metric strategies, drive decisions from analysis, and shape an AI-native analytics stack while mentoring senior data staff.