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.

Lead Product

Manager, Recommendations In this role, you'll own Scribd's recommendations experience — helping 200 million monthly visitors discover content they didn't know they were looking for, across a corpus of 300 million documents. You'll work at the intersection of ML and product to surface the right content to the right person, at the right time. Success means defining a compelling vision, crafting metrics that truly matter, and experimenting your way to breakthrough features that redefine discovery — in close partnership with Engineering, Analytics, Data Science, Design, and Machine Learning teams.

Chart the long-term recommendations strategy — own a multi-year roadmap spanning candidate generation, ranking, and results presentation across Scribd's surfaces, guiding every user from interest to the right document Partner with ML Engineering & Applied Research — translate cutting‑edge retrieval and ranking research into production systems that blend collaborative signals, content embeddings,



and real‑time behavioral data for best‑in‑class personalization Define the metrics that matter — establish and monitor leading indicators of recommendations success: engagement rate, click‑through, content completion, and downstream subscription conversion and retention Balance short‑term wins with long‑term vision — ship incremental relevance improvements that hit revenue goals while building an extensible recommendations platform aligned with Scribd's 3‑year AI strategy Fuse data with the voice of the customer — synthesize experiment results, behavioral analytics, user interviews, and feedback to inform prioritization and feature design Communicate with clarity and influence — align product, engineering, design, content, and executive stakeholders by clearly articulating requirements, timelines, deliverables, and expected impact 8+ years of product management experience, including 4+ years leading recommendations or search products in a high-traffic consumer workplace ~ Demonstrated success shipping ML-driven features that moved core business metrics (engagement, conversion, or revenue) at scale ~ Deep familiarity with retrieval and ranking algorithms, embeddings, and feature stores — paired with the ability to reason about end-to-end customer journeys for distinct user segments ~ Exceptional written and verbal communication skills — adept at crafting product briefs and presenting data‑backed decisions to senior leadership ~ Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)



Bonus Points Hands‑on proficiency with AI tools for productivity and analytics — including LLM‑powered workflows, SQL copilots, and data exploration tools — to move fast, prototype ideas, and pressure‑test assumptions without always needing engineering support 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 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 DATA et SI F/H (Toronto)
🏢 Scribd
📍 Toronto