Educational Video Lead

WHAT IS BOX?

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 AstraZeneca, 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.

Businesses everywhere are racing to understand how AI and secure content management can change how they work. Box serves developers, product owners, IT leaders, and business teams who need practical, credible guidance to implement AI in real workflows.

We're building a best‑in‑class educational content program to make Box the authority on enterprise AI—and we need a hands‑on creator to make that real.

This is a rare opportunity to define how Box educates the market on AI and shape the voice of our content strategy. As the Educational Video Lead, you'll own the end‑to‑end production of educational video content: identifying trending AI topics, scripting, recording, editing, and optimizing for You Tube, Linked In, and Box channels. This isn't a curriculum design or agency‑management role – it's about creating high‑impact content fast, with creative freedom and room to grow your impact.

• Own the full production cycle: identify trending topics, script, record (screen capture, voiceover, or on‑camera), edit, and publish tutorials and explainers.
• Move quickly from concept to published video – typically within about a week, supported by cross‑functional partners.
• Package and optimize content for You Tube, Linked In, and Box blog – titles, thumbnails, descriptions, tags.
• Translate complex concepts – including embeddings, vector search, RAG, and agentic AI – into clear, step‑by‑step guidance for different roles and industries.
• Appear on camera as needed, keeping energy high and pacing tight.
• Track LLMs, RAG, agentic workflows, and emerging AI use cases; propose weekly topics aligned with what the AI community and enterprise buyers care about.
• Interview engineers, PMs, and customers to extract technical details and find fresh angles.
• Identify white space in the market and create sharper, more practical content.
• Partner with SMEs to ensure accuracy and early access to new features; iterate from data & build process.
• Review retention curves, drop‑offs, search terms, and engagement to refine scripts, formats, and distribution.
• Define and track success metrics: views, completion rates, CTR, downstream activation, helpfulness ratings.
• Collaborate with Brand, Design, PMM, and Campaigns to integrate educational content into go‑to‑market and onboarding.

• 3‑5 years creating educational or technical video content (tutorials, explainers, product demos).
• Proven ability to own the full production and distribution process independently.
• Portfolio of 3‑5 end‑to‑end pieces (script, record, edit, publish).
• Curiosity and comfort learning and explaining AI concepts (e.g., RAG, embeddings, agentic workflows) to different audiences.
• Proficiency in video editing software (Premiere, Final Cut, DaVinci Resolve) and screen recording tools (e.g., Screen Studio, Camtasia).
• Data‑driven approach – comfortable iterating based on performance…