Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is building market-leading metadata extraction powered by AI agents and LLMs. We’re launching Box Extract to help customers create, manage, and continuously improve extraction agents that unlock structured insights from documents. Metadata extraction is an early stage product experience rapid growth and we want to scale the business rapidly. This Product Manager will drive adoption, connect customer needs to product direction, and help Box set the standard for modern Intelligent Document Processing (IDP). As the Product Manager for Metadata Extraction (Redwood City–based), you’ll represent the voice of the customer, partner closely with sales to scale the business and post‑sales to drive adoption, and collaborate with our Poland-based engineering team to deliver trustworthy, high-accuracy extraction at scale.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees