Lead Product Manager: Personalization & Discovery

Scribd, Inc.; Chicago (IL); Hybrid; USD 177,000 - 256,000; Full time

Benefits offered by this job

Scribd Flex

Health coverage

Mental health support

Paid time off

Parental leave

Equity options

L&D programs

Wellness stipend

Home office stipend

Product access

Job summary

Scribd, Inc. is seeking a Lead Product Manager for Recommendations who will own the recommendations experience across Scribd's surfaces. You will work with ML, data science, analytics, design, and engineering to surface the right content to the right user at the right time.

You will define a compelling vision, craft actionable metrics, and run experiments to drive breakthrough features that move engagement, retention, and revenue while aligning with Scribd's AI strategy.

Qualifications

• 8+ years of product management experience with 4+ years leading recommendations or search in a high-traffic consumer environment.
• Proven track record shipping ML‑driven features that move engagement, conversion, or revenue at scale.
• Deep familiarity with retrieval and ranking algorithms, embeddings, and feature stores with end-to-end user journeys in mind.
• Thrives in ambiguity: shapes multi-year vision, aligns cross-functional teams, delivers incremental wins.
• Exceptional written and verbal communication skills, able to craft briefs and present data-backed decisions to senior leadership.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).

Responsibilities

• Chart the long-term recommendations strategy with a multi-year roadmap across candidate generation, ranking, and results presentation.
• Partner with ML Engineering & Applied Research to productionize retrieval and ranking research.
• Define the metrics that matter: engagement, click-through, content completion, and subscription retention.
• Balance short-term wins with long-term vision to hit revenue goals and extend the platform.
• Fuse data with customer voice by synthesizing experiments, analytics, and user interviews for prioritization.
• Communicate clearly with product, engineering, design, content, and executives about requirements, timelines, and impact.

Skills

Product management

ML-driven features

Retrieval & ranking

Cross-functional leadership

Communication skills

Data-driven decisions

Education

Bachelor's degree in CS/Engineering/Math

Job description

Scribd, Inc. is seeking a Lead Product Manager for Recommendations who will own the recommendations experience across Scribd's surfaces. You will work with ML, data science, analytics, design, and engineering to surface the right content to the right user at the right time.

You will define a compelling vision, craft actionable metrics, and run experiments to drive breakthrough features that move engagement, retention, and revenue while aligning with Scribd's AI strategy.