Scribd, Inc. - Lead Product Manager

Lead Product Manager, AI Developer Platform$171k - $171k1mo ago

In Office Staff NA Cloud Computing Artificial Intelligence Product Manager Founder Regulatory Affairs Specialist Reporting Claude AWS Ruby Python

Requirements

• 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 • -------------------------------------------------------------------------------------- • At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. • In the state of California, the reasonably expected salary range is between $171,000 [minimum salary in our lowest geographic market within California] to $256,500 [maximum salary in our highest geographic market within California]. • In the United States, outside of California, the reasonably expected salary range is between $141,000 [minimum salary in our lowest US geographic market outside of California] to $244,000 [maximum salary in our highest US geographic market outside of California]. • In Canada, the reasonably expected salary range is between $179,000 CAD[minimum salary in our lowest geographic market] to $228,000 CAD[maximum salary in our highest geographic market]. • We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. 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. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. • Working at Scribd, Inc. • Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: • Are you currently based in a location where Scribd, Inc. can employ you? • primary residence in or near • United States: • Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. • Canada: • Ottawa | Toronto | Vancouver • Mexico:

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. • Own the unified agentic enablement roadmap. • 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. • Be the product owner for the internal app and agent platforms. • 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. • Translate between functions and the platform. • 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. • Drive cross-functional commitments to closure. • 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. • Make agentic enablement legible to the company. • 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. • Partner on go-to-market for internal users. • We're looking for • 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 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 • 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 and ability to move things forward when working in conditions where priorities, scope, and ownership are still being defined

Benefits

• 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 • 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 • Get to Know Scribd, Inc.About Scribd, Inc.Life at Scribd, Inc. • Get to Know Scribd, Inc. • Life at Scribd, Inc. • We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing [email protected] about the need for adjustments at any point in the interview process. • Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.