Lead Product Analyst

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.

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.

Data & Analytics at Scribd brings together Analytics Engineering, Data Science, and Product Analytics to turn fragmented data and inconsistent definitions into trusted foundations, and to build AI-assisted tools that bring reliable intelligence into how teams make decisions.

This role supports Content Supply & Understanding, the team that owns Scribd’s library of more than 400 million documents, which reaches over 250 million monthly active users. The team’s remit covers who contributes the content, how well we understand it, and how it reaches users. You will report to the Senior Manager, Data Analytics, and work embedded alongside Product, Engineering, Machine Learning, Data Science, and Analytics Engineering partners.

The role is open at the Senior and Lead levels, and we will level based on the experience you bring. At the Senior level you own analytical work streams within a defined area. At the Lead level you also set the measurement strategy for the area, take on the most open-ended problems, and raise the bar for the analysts around you.

Make it possible to say with confidence what is in the corpus, where it falls short of what users look for, and whether enrichment is making content easier to find and use, with numbers that stay comparable as content sources, models, and pipelines change.

A metric definition is a shared artifact. We care about documentation, versioning, and data quality as much as the readout on top, because a number that quietly breaks upstream is worse than no number at all.

• You are at your best when the question is not yet well formed. You look at an incomplete picture, work out what matters, and produce an answer a product team can act on, with the limits of the evidence stated plainly.
• You are equally comfortable as the strategist and the analyst. You can size an opportunity, model its return, write the SQL behind the metric, and defend the number in a room full of product and executive leaders.
• You are skeptical by default. When a metric moves sharply, your instinct is to find the field or pipeline that changed before you write the narrative.
• You are pragmatic. You ask what the right next version is, and you use AI where it creates measurable value.
• You communicate early and plainly, and you write things down.…