2 часа назад
Lead Product Manager (Search)
151 000 - 256 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Product Manager (Search): Transforming search into a large-scale discovery engine for 200 million monthly visitors and 300 million documents with an accent on retrieval, ranking, semantic understanding, and behavioral signals. Focus on defining a multi-year search strategy, translating ML research into production systems, measuring relevance and conversion, and delivering incremental improvements across product surfaces.
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–$256,000 in the United States, depending on geographic market; $179,000–$228,000 CAD in Canada.
Company
operates digital products including , SlideShare, Everand, and Fable to help people access knowledge, learning, and expertise.
What you will do
- Set the multi-year strategy and roadmap for search across query understanding, retrieval, ranking, and results presentation.
- Partner with ML Engineering and Applied Research to productionize semantic embeddings, BM25, retrieval, ranking, and real-time behavioral signals.
- Define and monitor search success metrics including query success rate, zero-result rate, click-through, subscription conversion, and retention.
- Balance incremental relevance improvements and revenue goals with development of an extensible search platform aligned with the AI strategy.
- Combine experiment results, query analytics, user interviews, and feedback to guide prioritization and feature design.
- Align product, engineering, design, content, and executive stakeholders around requirements, timelines, deliverables, and expected impact.
Requirements
- 6+ years of product management experience, including 4+ years leading search or recommendations products in a high-traffic consumer environment.
- Experience shipping ML-driven features that improved engagement, conversion, or revenue at scale.
- Experience designing LLM- and GenAI-enhanced user experiences that deliver task-specific value beyond chat.
- Hands-on proficiency with SQL, Python or R, prototyping tools, and model evaluation.
- Deep familiarity with retrieval and ranking algorithms, embeddings, feature stores, and end-to-end customer journeys.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
Nice to have
- Familiarity with vector databases and end-to-end MLOps or LLMOps workflows.
- Passion for written content, open knowledge, and products that help people learn, teach, and create.
Culture & Benefits
- Flex supports flexible workstyles while requiring intentional in-person collaboration.
- Health, dental, vision, mental health, disability, and family support benefits.
- Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
- Retirement matching, employee equity, learning and development programs, wellness and home office stipends.
- Access to products and enterprise access to AI tools.
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