Lead Product Manager - AI Developer Platform

About the role

This is a foundational hire — Scribd's first product management role pointed inward, with the company itself as the customer. You'll lead Scribd's 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.

Responsibilities

• Own the unified agentic enablement roadmap.
  • Pull together the in-flight AI workstreams across Scribd into a cohesive, sequenced roadmap.
  • Decide what is shared infrastructure and what stays function-specific.
  • Make the tradeoffs visible to leadership.
• Partner with the Developer Platform and Data Platform engineering teams who build the underlying capabilities.
  • Translate between functions and the platform.
  • Sit with different functions and their leaders to understand the workflows they are trying to redesign.
  • Turn that into requirements we can build against, and turn the platform's capabilities into something every function can act on.
• Drive cross-functional commitments to closure.
  • Our AI Enablement strategy includes several load-bearing pieces of shared infrastructure — canonical context, the evaluation practice, the plugin marketplace, the internal app platform, and a coherent context ownership map.
  • Each has named owners across functions.
  • Your job is to keep them moving in lockstep and surface the seams before they fragment.
• Make agentic enablement legible to the company.
  • Define the metrics that matter — adoption, throughput, time recovered, evaluation quality, impact — and report against them.
  • Build the narrative that gets every function bought in.
• Partner on go-to-market for internal users.
  • Plan and run the rollouts, education, and feedback loops that drive measurable adoption — capabilities aren't done when they ship, they're done when each function depends on them.
  • Treat internal rollouts with the same rigor we would treat an external launch.

Requirements

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.

Qualifications

• 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.

Skills

You are comfortable being the first PM in a new domain, defining the role as you go with no pre-existing playbook. You have demonstrated success owning ambiguous, cross-functional product surfaces end-to-end — defining the strategy, sequencing the work, and shipping with engineering partners — without a pre-existing playbook. You have built things with modern AI/LLM primitives — prompting, evals, tool use, agentic workflows, MCP, plugin or skill ecosystems, or comparable concepts. You have strong technical fluency to match. You can hold your own with engineers on system design, API tradeoffs, evaluation methodology, and agent architectures. You have a track record of being a trusted technical-strategy partner to engineering leadership, with influence at the architecture and roadmap horizon. You have exceptional written and verbal communication. You can move between an engineering deep-dive, a function lead's strategy review, and an exec narrative in the same week. You are comfortable and able to move things forward when working in conditions where priorities, scope, and ownership are still being defined.

Benefits

We offer a comprehensive and generous benefits package, including:

• 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
• Roth and Traditional 401(k) plans with employer contributions
• 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

Pay

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.

Schedule

This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.