Founding Data Lead

About the role

The owner of Pocket’s data foundation and decision-making systems end to end. You make our data reliable, accessible, and actionable across product, growth, marketing, sales, finance, and operations.

Pocket has already reached hundreds of thousands of customers and is scaling toward millions. Our data spans customer acquisition, e-commerce, hardware, app usage, subscriptions, customer support, and international markets. Your job is to connect these sources into a trusted system that helps us understand our customers and consistently make better decisions.

You will build the core data infrastructure, define how Pocket measures the customer journey, and work directly with teams to turn analysis into clear recommendations. You should be equally comfortable writing SQL, designing data models, investigating customer behavior, and explaining to founders what the company should do next.

This is a hands-on, founder-facing role for someone who wants to build Pocket’s data function from the ground up—not simply maintain dashboards or respond to reporting requests.

What you'll own

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

Analysis of the complete customer journey: acquisition, purchase, activation, engagement, subscription conversion, retention, churn, and referral

Customer cohort analysis, behavioral segmentation, and identification of Pocket’s highest-value users

CAC, LTV, payback period, contribution margin, attribution, incrementality, and marketing efficiency analysis

Product adoption, feature usage, retention, and experimentation measurement

Executive dashboards and recurring reporting for founders and functional leaders

Proactive analysis and recommendations—not just reporting what happened, but explaining why it happened and what Pocket should do next

Self-serve analytics that enables teams to answer common questions without compromising data quality

The long-term development of Pocket’s data function, including selecting tools and helping build the future data team

What we're 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

High ownership, low ego, intellectual honesty, and the ability to execute without constant direction

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 d