Ethos Life - Director, Product Analytics
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Requirements
• 10+ years of product analytics experience in consumer-facing, high-growth environments • 3+ years managing product analysts, with a track record of hiring, developing, and retaining top talent — and a player-coach disposition that keeps you close to the work • You don't wait for a spec. You notice the gap, frame the question, build the answer, and land the insight with the right audience. You progress at 5x the velocity of a traditional analyst — not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team. • You've 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 a clear-eyed awareness of where they accelerate, where they hallucinate, and where human judgment is non-negotiable. • You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck. • Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Robust SQL foundations — not because you'll write every query by hand, but because you need to reason through data reasoning, validate AI-generated output, and debug when something's off. • #LI-Remote #LI-JA1 • The US national base salary range for this full-time position is $184,000 - $324,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. • Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits. • You can find further details of our US benefits at https://www.ethoslife.com/careers/ • Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.
Responsibilities
• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you're in the room. • Player-coach leadership. You manage and develop a team of product analysts across our highest-priority charters. You take the hardest, highest-leverage work yourself — and make everyone around you better at theirs through hiring, coaching, and the standards you set. • Accountable for growth outcomes. You're measured on the business impact of the decisions analytics influences — conversion, retention, revenue per lead — not on the volume of analyses produced. You operate across product areas, experiments, and data sources, surfacing patterns and strategic bets that siloed analysis misses, and you shift how leadership thinks about growth. • Deep customer and business awareness. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews. • Experimentation at portfolio scale. Own experiment strategy across your product areas — design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows. • AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output across the team — validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always. • Raising the bar for the entire team. You set the standard for how AI and analytical rigor work collaboratively. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster — you make it the team's new baseline, and you make sure the team can execute it without you.
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