Box
Senior Product Manager, Search
$181K–$226K
Redwood City, CA, United States · Manager · Full-time · Posted Oct 28, 2026
- Experience
- 5–7 years as a Product Manager, Product Owner (in Agile), or similar role in a software company, with a strong focus on search, information retrieval, or discovery products.
- Education
- Bachelor's degree in Computer Science, Product Management, or equivalent experience in related fields.
About the job
Leads the strategy, roadmap, and delivery of Box Search features so enterprise users can discover and access content quickly, accurately, and intuitively.
What you'll do
- Set the Search product strategy and roadmap, including features such as semantic search, intelligent ranking, and personalized results.
- Translate admin and end-user needs, customer feedback, and data into product requirements; prioritize and plan work with engineering.
- Coordinate with product, engineering, customers, and cross-functional stakeholders to align roadmaps and communicate progress.
What they ask for
- Bachelor's degree in Computer Science, Product Management, or equivalent experience in related fields.
- 5–7 years as a Product Manager, Agile Product Owner, or similar role at a software company, focused on search, information retrieval, or discovery products.
- In-depth understanding of search technologies, indexing, ranking algorithms, and query processing.
- Strong communication, customer engagement, technical, cross-functional collaboration, and data-informed decision-making skills.
Nice to have
- Experience with large-scale search platforms such as Elasticsearch or Solr; familiarity with machine learning applications in search.
- Experience with cloud-native technologies and distributed systems; understanding of content management systems, enterprise software, or search analytics and relevance tuning.
Pay
$181,000–$226,500 USD base salary
Tools
Elasticsearch, Solr, Agile, machine learning, learning-to-rank, natural language processing (NLP), cloud-native technologies, distributed systems
AI focus
The role drives search features including semantic search, intelligent ranking, and personalized results, with potential machine learning applications such as learning-to-rank and NLP.
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