Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. 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. 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.

An agentic engineering stack is our competitive edge — turning AI leverage into real velocity: iterating quick 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. 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. 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.

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. 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 all‑in on AI reshaping every kind of knowledge work across a company, and you have already been applying it to your own. You’d rather ship and learn than wait for perfect, reserving real caution for the rare decisions that you can't easily reverse. Pull together the in‑flight AI workstreams across Scribd into a cohesive, sequenced roadmap.

Be the product owner for the internal app and agent platforms. You will partner with the Developer Platform and Data Platform engineering teams who build the underlying capabilities. 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.

Define the metrics that matter — adoption, throughput, time recovered, evaluation quality, impact — and report against them. 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. 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.

A track record of being a trusted technical‑strategy partner to engineering leadership, with influence at the architecture and roadmap horizon ~ Bonus Points 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 Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. 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]. relevant education or training; 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.

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 Enterprise access to leading AI tools If you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here. 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. #

📌 Lead Product Manager - AI Developer Platform (Canada)
🏢 Scribd
📍 Canada