Product Manager II, AI Research

Box•Redwood City, CA

1d•$160,000 - $200,000•Hybrid

About The Position

The Product Manager II, AI Research will lead Box’s applied AI research agenda, identifying high-impact research opportunities grounded in customer needs and translating research findings into product improvements. The role focuses on improving Box AI’s capabilities, reliability, and efficiency while strengthening Box’s credibility in enterprise AI. The position defines research priorities across areas such as knowledge work, metadata extraction, and workflow automation. It drives experiments with Engineering, AI labs, and other AI partners, evaluating models, post-training techniques, and agent configurations and turning results into recommendations for model selection and product capabilities. The role also partners with Box Agent Product and Engineering teams to test harness updates and emerging technologies, measure gains and regressions, and apply validated advances to Box Agent. The Product Manager represents Box externally through research publications and evidence-backed narratives, including media interviews, press releases, and webinars. The role aligns Product, Engineering, and external partners around research priorities, carries experiments through to decisions and implementation, and communicates technical findings clearly to customers, executives, and other audiences. Boxers are expected to work from their assigned office at least three days per week. The role is eligible for equity and benefits. The Redwood City pay range is $160,000–$200,000 USD.

Responsibilities

Define the research roadmap by identifying customer problems and emerging AI capabilities to investigate, prioritizing based on product impact and Box’s differentiation.
Partner with Engineering, AI labs, and the broader AI ecosystem to test models, post-training techniques, and agent configurations, and translate findings into recommendations for model selection and product capabilities.
Partner with Box Agent Product and Engineering teams to test harness updates and emerging technologies, measure improvements and regressions, and apply validated advances to Box Agent.
Develop research publications and evidence-backed narratives with Marketing and Communications, and represent Box’s applied AI research in media interviews, press releases, and webinars.
Align Product, Engineering, and external partners around research priorities and carry experiments through to decisions and implementation.
Communicate technical findings in plain language and build evidence-backed narratives for customers, executives, and external audiences.
Use AI to support faster, smarter decisions and increase impact at Box.