Lead Product Analyst
Listed on 2026-02-12
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IT/Tech
Data Analyst, Digital Marketing, Data Science Manager
About The Company
At Scribd Inc. (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products:
Everand, Scribd, Slideshare, and Fable.
This posting reflects an approved, open position within the organization.
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection.
For this reason, occasional in-person attendance is required for all Scribd Inc. employees, regardless of their location.
So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd Inc., we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to.
Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude.
The mission of the Data & Analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.
The Growth organization focuses on driving sustainable subscriber and user growth across Scribd’s ecosystem, including Scribd, Everand, Slideshare, and Fable. We work to improve how users discover, sign up for, activate, and retain value across our products. Our work spans acquisition, activation, retention, and monetization, with a deep emphasis on data quality, measurement, and experimentation.
AboutThe Role
The Lead Product Analyst, Premium will play a critical role in shaping how we understand, measure, and optimize the end-to-end product experience across Scribd’s Premium portfolio, including the Everand and Fable apps.
You are a strategic, technically strong analytics leader who partners deeply with Product Managers to influence product direction, experimentation strategy, and measurement frameworks. You bring a strong point of view on experimentation, instrumentation, and metric design, and understand how to connect user behavior to business outcomes in subscription-based products.
You are equally comfortable defining analytics foundations (event standards, tracking taxonomies, data quality) and synthesizing insights into clear narratives that guide decision-making. You act as a trusted thought partner to PMs, helping teams stay aligned on what success looks like and how progress is measured across both apps.
You Will- Own end-to-end product analytics for the Premium experience across Everand and Fable, spanning activation, engagement, monetization, retention, and cancellation.
- Serve as a strategic thought partner to PMs, influencing product strategy through experimentation insights, funnel analysis, and feature-level measurement.
- Design and lead end-to-end experimentation frameworks for Premium initiatives, including hypothesis generation, test design, metric definition, analysis, and executive-ready readouts.
- Partner with Product and Data Science to establish experimentation best practices, success criteria, and statistical rigor, including the use of external experimentation platforms (e.g., Statsig or similar).
- Define and maintain standardized instrumentation and…
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