R
Posted 4 hours ago
Manager of Analytics & Strategy
Read AIManager of Analytics & Strategy
Requirements
8+ years in product analytics or BI, Proficiency in SQL and Excel, Experience with Databricks and BI tools, Strong data governance and metric ownership
Skills
SQLDatabricksData Analysis
About the role
About the Company
Read AI is redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, integrating seamlessly with tools like Zoom, Microsoft Teams, and Slack. Backed by $81 million in funding, we are one of the fastest-growing AI-copilot companies in history.
Responsibilities
- Partner with Product and cross-functional leaders to define core product metrics and measurement strategy.
- Build and maintain dashboards that surface trends, anomalies, and leading indicators.
- Investigate performance changes and communicate actionable recommendations to inform product strategy.
- Own metric definitions and governance to ensure consistency across teams.
- Implement data quality checks and monitoring for key datasets and KPIs.
- Own the semantic layer that applies business logic and produces curated datasets.
- Align with Engineering on data contracts, table availability, and quality standards.
- Support segmentation, measurement plans, and experiment evaluation.
- Surface churn risk and expansion signals using usage patterns.
Requirements
- 8+ years of experience in product analytics, business intelligence, or a related role.
- Proven experience owning product performance reporting and translating trends into business actions.
- Strong background working with product usage data tied to retention and revenue.
- Proficiency in SQL and Excel.
- Experience using Databricks and BI tools.
- Demonstrated ownership of data quality and metric governance.
- Strong communicator able to synthesize complex data into clear narratives.
- Ability to operate in a fast-paced, cross-functional environment.
Preferred Qualifications
- Experience owning a semantic layer or analytics modeling layer (e.g., dbt, LookML).
- Experience with experimentation measurement, cohort analysis, or lifecycle analytics.
- Familiarity with lightweight scoring approaches for churn risk and expansion readiness.
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Read AI · Seattle
