Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones.
We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health.
We make getting life insurance easier, faster and better for everyone.
Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families!
We’re looking for a senior product analytics leader who thrives at the intersection of data, strategy, and execution. In this role, you’ll partner directly with product, design, engineering, and business leaders to uncover insights that drive our product vision and accelerate growth across the user funnel.
You’ll design and analyze experiments, synthesize complex data into actionable narratives, and influence roadmap priorities at the highest levels of the organization. This is a high-impact, high-visibility opportunity to shape product strategy in a fast-scaling, mission-driven environment.
If you’re energized by turning ambiguity into clarity, influencing through data, and driving measurable outcomes, this role offers the autonomy, visibility, and scope to do exactly that.
In this role, you will -
- Have executive visibility and influence, shaping key product and business decisions through your insights.
- Collaborate with high-caliber cross-functional leaders who value analytical rigor and strategic thinking.
- Have the opportunity to define frameworks, not just follow them, driving how the organization uses data to make decisions.
- Join a culture that values impact, ownership, and growth, where data is central to every major decision.
Duties and Responsibilities:
- Drive Product Strategy Through Data: Partner with product and executive teams to define success metrics, identify key inflection points in the user journey, and ensure data-driven decision-making across initiatives.
- Lead Experimentation and Causal Analysis: Design, implement, and analyze A/B and multivariate experiments to measure incremental impact, causation, and lift. Elevate experimentation practices across teams to improve decision quality and speed.
- Surface Actionable Insights: Conduct deep-dive analyses to identify opportunities for growth, retention, and engagement. Translate findings into clear, strategic recommendations that inform product direction and roadmap priorities.
- Executive Storytelling and Influence: Synthesize complex analytical findings into compelling narratives that drive alignment and action at the leadership level. Communicate insights with clarity, confidence, and strategic context.
- Enable Data-Driven Culture: Build intuitive dashboards and frameworks that empower teams to self-serve insights. Champion a culture of curiosity, experimentation, and evidence-based decision-making.
- Cross-Functional Partnership and Leadership: Collaborate with data engineering to ensure data quality and consistent business logic. Act as a trusted advisor to PMs and executives, influencing both short-term experiments and long-term strategy.
- 8+ years of experience in product analytics, data science, or growth analytics, with proven impact in high-growth, consumer-facing environments.
- Demonstrated ability to influence senior stakeholders and shape product direction through data-driven insights.
- Expert in SQL and adept with data visualization tools (e.g., Looker, Tableau, Mode).
- Deep experience designing and interpreting experiments and applying statistical rigor (regression, confidence intervals, hypothesis testing).
- Proficiency with Python or R for advanced analytics.
- Exceptional communication and storytelling skills — able to synthesize complex data into clear, strategic narratives.
- Thrives in fast-paced, scaling environments, balancing strategic foresight with hands-on analytical execution.
#LI-Remote #LI-JA1
The US national base salary range for this full-time position is $133,000 - $236,000. 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.
We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.
To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.
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