Experience Senior · 6+ yrs (3+ years)
About the role
structured by ORIPocketTake Notes in the Real WorldFounding Data Lead$150K - $180K•0.05% - 0.10%•San Francisco, CA, US / RemoteJob typeFull-timeRoleEngineering, Data scienceExperience3+ yearsVisaWill sponsorSkillsPython, SQL, Data Warehousing, Data Modeling, Data AnalyticsConnect directly with founders of the best YC-funded…
What you will do
- Pocket’s data strategy, architecture, and analytics foundation
- A reliable single source of truth across Shopify, Amazon, advertising platforms, the Pocket app, device usage, subscriptions, customer support, and finance
- Data pipelines, warehouse architecture, transformation models, documentation, monitoring, and data quality
- Product instrumentation, event taxonomy, identity resolution, and customer lifecycle tracking
- Definitions and governance for company-wide metrics and KPIs
What they are looking for
- 3+ years of experience across data analytics, analytics engineering, data science, data engineering, or a similarly quantitative role
- Experience working in a high-growth startup or technology company
- Experience analyzing customer cohorts at the scale of hundreds of thousands of users, ideally while the company was growing toward millions
- Advanced SQL skills and strong working knowledge of Python
- Hands-on experience with modern data warehouses, transformation tools such as dbt, BI platforms, and product analytics tools
- Experience building reliable data pipelines and models—not only analyzing existing datasets
- Strong understanding of cohort analysis, retention, funnels, segmentation, experimentation, CAC, LTV, and attribution
- Experience supporting product, growth, marketing, sales, finance, and executive decision-making
- An obsession with data accuracy, consistency, documentation, and reliability
- The ability to turn ambiguous business questions into structured analyses and clear recommendations
- Strong product and commercial judgment—you understand that the purpose of data is to improve decisions and outcomes
- Clear communication skills and the ability to influence technical and non-technical stakeholders
Nice to have
- Consumer technology, DTC, e-commerce, subscription, mobile app, or hardware experience is a strong plus
- Experience building a data function or operating as an early data hire is a strong plus
Benefits
- Base salary of $150,000–$180,000, depending on experience
- Meaningful equity through Pocket’s employee stock option plan
PythonSQLData WarehousingData ModelingData AnalyticsCohort AnalysisRetentionAttributionShopifyAmazondbt
Full posting text
Experience: 3+ years