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Salary: USD 166,000 - 260,000 / annual
Ethos is a life insurance technology company transforming how life insurance is bought, sold, and underwritten through a three-sided platform serving consumers, agents, and carriers. The company offers instant, accessible products with no medical exams, democratizing access to life insurance.
This is a senior, highly influential product analytics role focused on strategic impact and deep analytical craft. You'll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. The role emphasizes judgment, customer understanding, and identifying highest-leverage questions that drive product decisions.
Key responsibilities include: identifying and answering high-leverage analytical questions that change what gets built; building rich models of customer behavior, conversion, retention, and growth opportunities; owning experiment strategy across product areas including design, guardrails, and interpretation; validating and improving AI-generated analyses while maintaining human judgment as the ultimate authority; connecting patterns across product areas and data sources to surface strategic opportunities; and raising analytical standards across the team.
The company has built AI infrastructure that accelerates mechanical analysis, freeing you to operate at a higher level—training systems on quality standards, reviewing output, and applying judgment that models cannot replicate. You'll shape how AI transforms product analytics in a fast-moving environment.
Required: 8+ years of product analytics in consumer-facing, high-growth environments. You must demonstrate ability to move at 5x speed by leveraging available tools without cutting corners, and have changed what gets built, not just reported on what shipped. Deep expertise in experiment design, causal inference, and power analysis combined with daily use of AI tools and clear understanding of their limitations. Strong communication skills across technical and executive audiences. Proficiency with modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode) and strong SQL foundations for reasoning through data logic and validating AI output.
