Lead, Recommendations & AI-Driven Discovery

Scribd, Inc.; Denver (CO); On-site; USD 150,000 - 244,000; Full time

Benefits offered by this job

Scribd Flex

Health coverage

Mental health support

Generous PTO

Parental leave

Equity

Growth programs

Wellness stipend

Product suite access

AI tools access

Job summary

Scribd, Inc. is seeking a Lead Product Manager for Recommendations to own our recommendations experience and drive discovery for 200M+ monthly visitors. You’ll define vision, craft meaningful metrics, and partner with Engineering, Analytics, Data Science, Design, and ML teams to ship breakthrough features.

The role blends ML with product leadership, shaping a multi-year strategy and building a scalable, data-driven personalization platform.

Qualifications

• 8+ years in product management, including 4+ years leading recommendations or search in a high-traffic consumer product.
• Proven ML-driven feature shipping that moved engagement, conversion, or revenue at scale.
• Deep familiarity with retrieval, ranking, embeddings, and feature stores.
• Thrives in ambiguity; shapes multi-year vision and aligns cross-functional teams.
• Excellent written and verbal communication; presents data-backed decisions.
• Bachelor's degree in CS/Engineering/Math or related field.

Responsibilities

• Define long-term recommendations strategy; multi-year roadmap across surfaces.
• Translate research into production systems using signals and embeddings.
• Define leading indicators and monitor engagement, CTR, completion, and conversions.
• Ship incremental relevance improvements aligned with revenue goals.
• Synthesize experiments and feedback to inform prioritization.
• Communicate requirements and timelines clearly to stakeholders.

Skills

Product management

Ranking algorithms

Data storytelling

Cross-functional leadership

Communication

Experimentation

Roadmapping

Prioritization

Education

Bachelor's degree in CS/Engineering

Tools

AI tools

Job description

Scribd, Inc. is seeking a Lead Product Manager for Recommendations to own our recommendations experience and drive discovery for 200M+ monthly visitors. You’ll define vision, craft meaningful metrics, and partner with Engineering, Analytics, Data Science, Design, and ML teams to ship breakthrough features.

The role blends ML with product leadership, shaping a multi-year strategy and building a scalable, data-driven personalization platform.