

Using Muse AI Agents for Product Managers & Forward Deployed Engineers to Work 10x Faster
Join the Zoom Link:
https://zoom.us/j/99409090946?pwd=DknoPum83sYKd9vMy0QoQOCCjr2TWK.1
Meta just dropped something that sent their stock soaring — and most people in tech are still figuring out what it means for them.
Muse is Meta's personal AI agent. It does not just answer questions — it actually does the work. It sends emails, books travel, fills out forms, negotiates on your behalf, and keeps working in the background after you close the app. Unlike previous AI tools, Muse runs on a dedicated Linux VM in Meta's cloud with its own browser — meaning when it shops, schedules, or acts on your behalf, it is doing it with full execution capability, not just drafting suggestions for you to execute yourself.
For product managers and forward deployed engineers, this is not a consumer novelty. This is a workflow transformation.
In this live session we are going to cut through the noise and show you exactly how to get started, what Muse can do for you on the job right now, and why the PMs and FDEs who understand this tool first are going to be operating at a level that everyone else will be trying to catch up to for the next 12 months.
What we are covering:
→ What Muse actually is and why it is different from every AI tool that came before it
→ How to set it up and connect it to the apps you already use
→ Day-to-day use cases for product managers — from stakeholder updates to roadmap research to competitive monitoring
→ Day-to-day use cases for forward deployed engineers — from client follow-up sequences to deployment documentation to cross-system task automation
→ How to demo Muse in your next interview and change the entire conversation
→ Live Q and A with your hosts
Who should attend:
Product managers, AI product managers, growth PMs, and monetization PMs who want to move faster than their current workflow allows.
Forward deployed engineers, deployment strategists, and GTM engineers who are managing multiple client engagements and need more leverage.
Anyone in the TechCareers.io community who wants to understand how to use the hottest AI agent on the market before their competition does.
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