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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Product Manager - AI Developer Platform - **Company:** Scribd Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $141,000.0 - $256,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Infrastructure, Cursor (Graphical User Interface Elements), Programming Tools, Python (Programming Language), Software Product Management, Productivity Software, Ruby, TypeScript, Large Language Models, AI Platforms, Production Code, Data Analytics, Databricks, Golang - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=456117c4b5d0d0b6 ## About the Role Do you have experience in Technical product management within tech?, 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. You prefer structural guardrails over non-enforced guidelines., * 7+ years of product management experience, with notable focus owning developer tooling, AI platforms, or internal productivity tools * 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 * Hands-on experience shipping real products on 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 * Strong technical fluency to match. You can hold your own with engineers on system design, API tradeoffs, evaluation methodology, and agent architectures * A track record of being a trusted technical-strategy partner to engineering leadership, with influence at the architecture and roadmap horizon * 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 * Comfort working in conditions where priorities, scope, and ownership are still being defined - and where your input is part of defining them, * 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 ## Description This is a foundational hire, and a first of its kind at Scribd. It is our first product management role pointed inward - at the company itself as the customer. You'll lead Scribd's agentic 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. 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 Product, Design & Research, Data & Analytics, and TPM. 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., * Own the unified agentic enablement roadmap. Pull together the in-flight AI workstreams across Engineering, Product, Design & Research, Data & Analytics, and TPM into a cohesive, sequenced, roadmap. Decide what is shared infrastructure and what stays function-specific. Make the tradeoffs visible to leadership. * Be the product owner for the internal app and agent platforms. Define and drive the product strategy for the platforms the company depends on - the internal app platform, the plugin marketplace, the agent runtime - and make sure they meet each function's real needs. You will 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. ## Related Videos - [Coffee with Developers: David Heinemeier Hansson](https://www.wearedevelopers.com/videos/875-coffee-with-developers-david-heinemeier-hansson) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Marketing x Product: How We Stopped Gaslighting Each Other and Built AI Products That Actually Work](https://www.wearedevelopers.com/videos/100244-marketing-x-product-how-we-stopped-gaslighting-each-other-and-built-ai-products-that-actually-work) - [Coroutine explained yet again 60 years later](https://www.wearedevelopers.com/videos/690-coroutine-explained-yet-again-60-years-later) - [ Your Code Is the Sales Team Now](https://www.wearedevelopers.com/videos/100327-your-code-is-the-sales-team-now) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding)