AI Education Content Lead

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. Founded in 2005, Box simplifies work for global leaders such as JLL, Morgan Stanley, and Nationwide.

By joining Box you will help shape how content powers enterprise workflows and bring intelligence to the world of content management.

Box serves developers, product owners, IT leaders, and business teams who need practical guidance to implement AI in real workflows.

We’re looking for an AI educator who can translate complex technical concepts into high‑impact educational content — and produce the content yourself.

This role is not traditional video production or curriculum design. We need someone who deeply understands AI technology, knows what enterprises need to learn now, and has the hands‑on production skills to create and ship educational content fast.

As the AI Education Content Lead you will own both the "what" and the "how" of our educational content: deciding what topics matter most, developing the teaching approach, and executing the full production cycle yourself (scripting, presenting, editing, publishing, optimizing).

Lead AI Education Content Creation & Execution

• Identify AI topics that enterprise audiences need to understand right now (LLMs, RAG architectures, vector databases, agentic workflows, emerging AI patterns).
• Translate complex technical concepts (embeddings, retrieval systems, prompt engineering, AI security) into clear, practical guidance for developers, product teams, and business leaders.
• Determine the right teaching approach for each topic: step‑by‑step tutorials, conceptual explainers, or use‑case walkthroughs.
• Interview Box engineers, product managers, and customers to extract technical insights and real‑world implementation patterns.
• Stay ahead of the AI ecosystem and identify white space where Box can provide unique educational value.

Produce & Distribute Content Independently

• Own the full production cycle: script, record (screen capture, voice‑over, on‑camera), edit, and publish educational videos.
• Present technical content on camera with clarity and energy, making complex topics engaging and accessible.
• Move from concept to published video quickly (typically within a week), working with cross‑functional partners when needed.
• Package and optimize content for You Tube, Linked In, and Box channels (titles, thumbnails, descriptions, tags).
• Build educational video series that progressively build audience knowledge.

Measure Impact & Iterate

• Define success metrics: view completion rates, engagement depth, downstream activation, audience feedback, search performance.
• Analyze retention curves, drop‑off points, and viewer behavior to continuously improve content effectiveness.
• Collaborate with Brand, Design, Product Marketing, and Campaigns teams to integrate educational content into broader go‑to‑market strategies.
• Test different formats, lengths, and teaching approaches based on data.

Required

• Deep understanding of AI/ML concepts — able to explain how LLMs work, what RAG systems do, how embeddings enable semantic search, what vector databases are for, and how agentic workflows differ from traditional AI.
• 3+ years creating technical or educational content for developer, enterprise, or technical audiences (videos, tutorials, documentation, courses, or articles).
• Demonstrated ability to teach complex technical topics clearly — portfolio showing 3–5 examples of accessible learning experiences.
• Self‑sufficient video production skills — comfortable scripting, recording (screen capture and voice‑over minimum), editing, and publishing independently. Proficiency in editing software (Premiere, Final Cut, DaVinci Resolve, or similar) and screen recording tools.
• Strong technical curiosity — actively follow AI research, experiment with new models and tools, and understand how enterprises implement AI.
• Data‑driven approach — comfortable defining metrics, analyzing performance, and iterating based on what works.
• Excellent…