Product Manager II, AI Research

Box•Redwood City, CA

1d•$160,000 - $200,000•Hybrid

About The Position

Box is hiring a Product Manager, AI Research to lead its applied AI research agenda. The role identifies high-impact research opportunities grounded in customer needs and emerging AI capabilities, then prioritizes them according to product impact and Box’s differentiation. Research areas include knowledge work, metadata extraction, and workflow automation. The Product Manager drives applied experimentation with Engineering, AI labs, and the broader AI ecosystem, testing models, post-training techniques, and agent configurations and turning findings into recommendations for model selection and product capabilities. In partnership with the Box Agent Product and Engineering teams, the role evaluates test harness updates and emerging technologies, measures improvements and regressions, and applies validated advances to improve the Box Agent’s capabilities, performance, and user favorability. The role also represents Box externally through research publications, evidence-backed narratives, and participation as an applied AI research spokesperson in media interviews, press releases, and webinars. It aligns Product, Engineering, and external partners on research priorities and carries experiments through to decisions and implementation, while communicating technical findings clearly to customers, executives, and other audiences. Box describes itself as an AI-first company and expects employees to use a growth mindset and leverage AI to improve their impact. Employees are expected to work from their assigned office at least three days per week. The position is eligible for equity and benefits. The stated Redwood City base salary range is $160,000–$200,000 USD, with compensation dependent on factors including knowledge, skill level, experience, and work location.

Responsibilities

Define the research roadmap by identifying and prioritizing customer problems and emerging AI capabilities across areas such as knowledge work, metadata extraction, and workflow automation.
Partner with Engineering, AI labs, and the broader AI ecosystem to experiment with models, post-training techniques, and agent configurations, and turn findings into actionable recommendations.
Partner with Box Agent Product and Engineering teams to test harness updates and emerging technologies, measure improvements and regressions, and apply validated advances to improve the Box Agent’s capabilities, performance, and user favorability.
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.