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Scribd

Lead Product Analyst - Premium

Reposted 21 Minutes Ago
In-Office
23 Locations
117K-221K Annually
Mid level
In-Office
23 Locations
117K-221K Annually
Mid level
The Lead Product Analyst will optimize product experiences across Scribd's Premium portfolio, guiding product strategy and metrics through strong analytics and experimentation frameworks. Responsibilities include end-to-end product analytics, dashboard creation, and collaboration with product managers and engineering.
The summary above was generated by AI

Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.

Culture at Scribd, Inc.

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.

We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.

This posting reflects an approved, open position within the organization.

About the Team

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.

About The 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 event taxonomy frameworks across Premium surfaces, partnering closely with Engineering to ensure consistent, high-quality data collection.

  • Measure and evaluate the performance of new feature launches through clear input and output metrics, post-launch analysis, and iteration recommendations.

  • Build and maintain scalable dashboards and reporting frameworks in Looker and Databricks to track Premium health, product KPIs, and weekly business metrics.
    Conduct deep-dive funnel, cohort, and behavioral analyses to identify friction points and opportunities across both apps.

  • Track progress against key product goals, ensuring alignment between inputs (feature adoption, engagement signals) and outputs (retention, revenue, LTV).
    Present insights regularly in metrics forums and product reviews, helping teams maintain a shared, end-to-end view of Premium performance.

  • Ensure data quality, governance, and visibility across tracking systems, improving confidence in decision-making.

  • Mentor analysts and help establish best practices for product analytics, experimentation, and measurement standards across the Premium pillar.

You Have
  • 3+ years of experience in product analytics, ideally within a consumer-facing or subscription-based product environment.

  • Advanced proficiency in SQL and Python or R for data analysis, experimentation support, and insight generation.

  • Strong experience with experimentation design and analysis, including hands-on use of external experimentation platforms (e.g., Statsig or similar tools).

  • Deep experience building and maintaining dashboards in BI tools such as Looker, including working with LookML and defining trusted metrics.

  • Experience working with modern data warehouses such as Databricks, including collaborating with Data Engineering on modeling, performance, and reliability.

  • Proven experience defining event schemas, instrumentation standards, and tracking taxonomies in partnership with Engineering teams.

  • Strong understanding of funnel analysis, feature measurement, cohort analysis, and post-launch evaluation.

  • Ability to synthesize complex analyses into clear, actionable insights and communicate them effectively to PMs, engineers, and leadership.

  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics (Master’s degree a plus).

Why This Role Matters

This is a high-impact role with broad visibility and ownership across Scribd’s Premium products. You’ll help define how success is measured, how experiments are run, and how insights drive decisions across Everand and Fable. Your work will shape the analytics foundations, metrics, and narratives that guide Premium product strategy end to end.

At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.

In the state of California, the reasonably expected salary range is between $141,500 [minimum salary in our lowest geographic market within California] to $221,000 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $117,000 [minimum salary in our lowest US geographic market outside of California] to $210,000 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $148,500 CAD[minimum salary in our lowest geographic market] to $196,500 CAD[maximum salary in our highest geographic market].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Working at Scribd, Inc.

Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:


United States:

Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.

Canada:

Ottawa | Toronto | Vancouver

Mexico:

Mexico City

Benefits at Scribd, Inc.

  • Scribd Flex (flexible work model)

  • Comprehensive health, dental, and vision coverage

  • Mental health support and disability coverage

  • Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals

  • Paid parental leave and family support benefits

  • Retirement matching and employee equity

  • Learning and development programs and professional growth opportunities

  • Wellness and home office stipends

  • Complimentary access to the Scribd, Inc. suite of products

  • Enterprise access to leading AI tools

Get to Know Scribd, Inc.
About Scribd, Inc.
Life at Scribd, Inc.

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing [email protected] about the need for adjustments at any point in the interview process.

Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

Top Skills

Databricks
Looker
Python
R
SQL
Statsig

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