Lead Product Manager (AI Developer Platform)

Join Scribd, Inc. as a Lead Product Manager for our AI Developer Platform. This foundational role will lead our company-wide AI transformation, focusing on the developer platform and shaping the evolution of the developer and agentic experience. You will work closely with engineering and product leadership, define the product strategy for internal app and agent platforms, and drive cross-functional commitments to closure. This role offers a comprehensive benefits package, including healthcare coverage, paid parental leave, and a 401k matching plan.

• Lead the company-wide AI transformation, focusing on the developer platform and shaping the evolution of the developer and agentic experience.
• Own the unified agentic enablement roadmap, coordinating in-flight AI workstreams across the company and making tradeoffs visible to leadership.
• Drive cross-functional commitments to closure, ensuring that shared infrastructure pieces of the AI Enablement strategy are moving in lockstep and not fragmenting.
• 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
• 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
• 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
• Strong technical fluency to match. You can hold your own with engineers on system design, API tradeoffs, evaluation methodology, and agent architectures
• Comfort and ability to move things forward when working in conditions where priorities, scope, and ownership are still being defined
• Hands-on experience shipping real products with modern AI/LLM primitives — prompting, evals, tool use, agentic workflows, MCP, plugin or skill ecosystems, or comparable concepts. You have built things with these primitives, not just written PRDs about them
• A track record of being a trusted technical-strategy partner to engineering leadership, with influence at the architecture and roadmap horizon
• 7+ years of product management experience, with notable focus owning developer tooling, AI platforms, or internal productivity tools
• 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
• A background that includes engineering, technical program management, or applied AI work in addition to product management — you have shipped production code at some point in your career
• Experience as a PM, technical lead, or founder building internal-facing developer tools, AI platforms, or productivity products at scale
• Direct experience with Claude Code, Codex, Cursor, or other agentic coding environments — as a power user, an enabler, or a builder
• Familiarity with the operating realities of a multi-product subscription business and a software stack that spans Ruby, Go, TypeScript, Python, and the AWS/Databricks ecosystem
• Prior experience standing up a new function or a new PM role in an organization