Lead Product Manager - AI Developer Platform

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.

We're changing how Scribd, Inc. builds — and this role drives that forward. An agentic engineering stack is our competitive edge — turning AI leverage into real velocity: iterating fast to find the right direction, then moving with conviction. The foundations are taking shape — Claude Code in every engineer's hands, a plugin marketplace, an internal app platform in development, and the skills and conventions that make them effective in our codebases. The next chapter is making that stack the operating system every function at Scribd, Inc. builds on top of.

In engineering, more than 80% of our engineers use Claude Code daily, and AI now writes more than half of our new code — roughly 3× the industry median. Across the company, teams are exploring agentic workflows and building their first internal apps and tooling. The deeper transformation is still just beginning: redesigning how software gets built as AI agents take on more of the work and engineers direct and steer — and extending that pattern to every other function. That's where this role comes in.

This is a foundational hire — our first product management role pointed inward, with the company itself as the customer. You'll lead our company-wide AI transformation, with the developer platform as the center of gravity: helping define the agentic engineering stack and shaping the evolution of the developer & agentic experience at Scribd, Inc. From that foundation, you'll extend the same thinking outward — partnering with Product, Design & Research, Data & Analytics, and TPM as they redesign their own work around AI agents, and guiding the internal app and agent platforms that every function depends on.

To do this well, you'll spend real time with developers and eng teams — understanding how they work today, where the friction lives, and what the next leap looks like for them. You'll lead the product strategy for developer experience and how we measure it — quantitatively and qualitatively. You'll bring the same lens to the parallel transitions in other functions at Scribd, Inc. Across all of it, your job is to help us adopt AI thoughtfully and prove its impact — not to scale AI generation for its own sake, but to make every function more capable and more confident in the outputs.

This role reports to the Director, Developer Platform, and partners closely with Engineering and Product leadership.

You are energized by hard, ambiguous, cross-functional problems where the technology landscape is moving faster than ever, adoption is uneven across functions, and the platform is actively evolving as it ships. You have spent enough time close to engineering to reason about platforms, APIs, and agent systems on their own terms — and enough time across functions to know that adoption is a people problem at least as much as a technical one. You are comfortable being the first PM in a new domain, defining the role as you go with no pre-existing playbook to inherit.

You are all-in on AI reshaping every kind of knowledge work across a company, and you have already been applying it to your own. You think in systems and feedback loops, and you see the difference between how work happens on paper and how it actually gets done. You prefer structural guardrails over non-enforced guidelines. You'd rather ship and learn than wait for perfect, reserving real caution for the rare decisions that you can't easily reverse.

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