2 месяца назад
Lead Product Manager, Recommendations (AI)
151 000 - 244 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Product Manager, Recommendations (AI): Owning Scribd's recommendations experience across a 300-million-document corpus, with an accent on ML-driven personalization, retrieval, ranking, and measurable customer outcomes. Focus on defining a multi-year roadmap, translating research into production systems, designing experiments, and aligning cross-functional teams around scalable discovery features.
Location: Primary residence required in or near approved cities in the United States, Canada, or Mexico; occasional in-person attendance is required.
Salary: $151,000–$244,000 annually in the United States outside California; $177,000–$256,000 annually in California; CAD 179,000–CAD 228,000 annually in Canada. The role is also eligible for equity and benefits.
Company
, Inc. operates , SlideShare, Everand, and Fable, helping people discover and use knowledge and content.
What you will do
- Own the long-term recommendations strategy and multi-year roadmap across candidate generation, ranking, and results presentation.
- Partner with ML Engineering and Applied Research to translate retrieval and ranking research into production personalization systems.
- Define and monitor recommendation metrics including engagement, click-through, content completion, conversion, and retention.
- Balance incremental relevance improvements and revenue goals with development of an extensible recommendations platform.
- Combine experiments, behavioral analytics, user interviews, and customer feedback to guide prioritization and feature design.
- Align product, engineering, design, content, and executive stakeholders around requirements, timelines, deliverables, and impact.
Requirements
- 8+ years of product management experience, including 4+ years leading recommendations or search products in high-traffic consumer environments.
- Experience shipping ML-driven features that improved engagement, conversion, or revenue at scale.
- Deep familiarity with retrieval and ranking algorithms, embeddings, and feature stores.
- Ability to shape multi-year product vision, work through ambiguity, and align cross-functional teams.
- Exceptional written and verbal communication skills, including product briefs and data-backed presentations to senior leadership.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
Nice to have
- Hands-on experience with LLM-powered workflows, SQL copilots, and AI tools for productivity and analytics.
- Experience designing LLM- and GenAI-enhanced discovery experiences.
- Familiarity with modern MLOps tooling.
Culture & Benefits
- Flex provides a flexible work model balanced with intentional in-person collaboration.
- Health, dental, vision, mental health, disability, and family support benefits are provided.
- Paid time off includes vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
- Retirement matching, employee equity, learning programs, wellness support, and home office stipends are available.
- Employees receive access to products and leading AI tools.
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