The new Director of Product Marketing, Agentic AI is asked to build a customer proof program for teams "deploying agents in production". CoreWeave already has that proof on its own site, but it is locked inside video. Of 115 video pages, 75 show a Transcript tab with nothing in it, including MasterClass on multi-agent AI, Cognition on training SWE-2 with RL, LlamaIndex on context for agents, Parallel Web Systems on reliable web agents, Grammarly on vLLM inference and Willow on voice AI. Meanwhile only one of the 17 written case studies (Cohere North) is about agents, and the Agentic AI page names no customer at all.
First action
Export captions for the MasterClass, Cognition and LlamaIndex talks and paste them into their Transcript tabs.
How to measure it
Customer agent stories linked from the Agentic AI page
- Now
- –
- Target
- 10
- By
- 45 days
Steps
List the empty pages
The 75 video pages with an empty Transcript tab, customer talks first.
Web team lead 1 day
Generate transcripts
Auto-transcribe from the source video and correct names and terms.
Content marketing manager 1 week
Publish
Fill each Transcript tab and add the text to the page for search.
Web team lead 1 week
Write summaries
A one-page story for each customer talk with the numbers the speaker gave.
Director of Product Marketing, Agentic AI 2 weeks
Get approval
Send each summary to the speaker's company to confirm it as a reference.
Customer marketing lead 2 weeks
Link the proof
Agentic AI page, case-study hub, inference and RL product pages.
Web team lead 2 days
Hand to sales
A one-line proof index by use case for first-call decks.
Director of Product Marketing, Agentic AI 1 day
Measure
Organic entrances to video pages and clicks from the Agentic AI page.
Senior Manager, Marketing Research & Intelligence monthly
Why it works
Generate and edit transcripts for the 75 empty pages, starting with the 15 customer talks. For each customer talk, publish a one-page written summary (the problem, the stack on CoreWeave, the numbers the speaker gave, a quote) and link it from the Agentic AI page, the case-study hub and the matching product pages. Ask each speaker's company to approve the summary so it can count as a reference story.
Buyers, search engines and AI assistants read text, not video. Transcripts make the talks findable for the questions agent builders ask, and the summaries give sales and the Agentic AI page named proof within weeks instead of waiting for new case studies.
Ready to use
ChecklistTranscript and proof pass
[ ] Export captions for the 15 customer talks [ ] Correct names (models, frameworks, products) [ ] Fill the Transcript tab and render it as page text [ ] One-page summary: problem, stack, numbers, quote [ ] Customer approval as a reference story [ ] Link from /solutions/agentic-ai and /case-studies [ ] Add VideoObject data with the transcript [ ] Repeat for the remaining 60 pages
Risks and how to handle them
Talks contain claims a customer would not put in writing
Publish only the approved summary; keep the raw transcript as given on stage.
Machine transcripts mangle model and product names
Edit against a glossary of CoreWeave, NVIDIA and model names.
Evidence
- Your websiteVideo library (all 115 /resources/videos pages checked October 21, 2026): every page has a Transcript tab, but on 75 of them it is empty. Empty ones include customer talks such as "How Grammarly Scales Real-Time Inference with vLLM on CoreWeave", "How MasterClass Builds Multi-Agent AI That Learners Can Trust", "Training Cognition SWE-2: Asynchronous RL at Global Scale", "Building the Document Context Layer for AI Agents at LlamaIndex", "Beyond the Benchmark: How Parallel Web Systems Builds Reliable Web Agents", "Building the Voice OS at Willow", "Inside Pinterest's Machine Learning Platform", Nasdaq, IBM Granite 4.0 and You.com's Nemotron agentic search; the 40 filled ones include product demos such as the ARENA demo.Source
- Your websiteCustomer stories: the sitemap lists 17 written case studies. The hub features Cohere ("North, Agentic AI for Enterprise"), OpenAI, IBM ("80%") and Mistral AI ("2.5x Faster Training"); Cohere is the only one about agents, and none is about robotics or autonomous vehicles. Several are older stories (NightCafe, Zeet, Odyssey's McDonald's metaverse experience, Bit192 GPT-NeoX-20B).Source
- Your websiteAgentic AI solution page: H1 "Agentic AI that paves the path to superintelligence", sections on training, inference and observing agents, "Exemplary agent inference. Validated by NVIDIA." and 11 FAQs, but no customer story or named agent builder.Source
- HiringDirector of Product Marketing, Agentic AI (open, posted June 17, 2026): position CoreWeave "as the premier infrastructure platform for agentic AI"; build "use-case playbooks" for "autonomous coding agents, multi-agent reasoning pipelines"; and "Build and scale a customer proof program featuring case studies and reference customers across AI labs, enterprises, and high-growth AI startups deploying agents in production"; plus thought leadership "white papers, technical blogs, benchmark reports, webinars".Source
- HiringSenior Manager, Marketing Research & Intelligence (posted September 10, 2026): "Develop research and measurement frameworks for new / emerging audience and platform discovery channels, including Generative AI / LLMs"; size TAM and SAM; "Track market share against key competitors"; identify buyer groups by use case; and "push account targeting signals into marketing automation and CRM platforms"; success includes "identifying accounts and prospects that are ready to buy".Source