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Home›Jobs›Meta (Facebook)›Technical Program Manager, AI Network Infra
Meta (Facebook)

About Meta (Facebook)

Connecting people through innovative technology

Key Highlights

  • Over 2.9 billion monthly active users across platforms
  • Headquartered in Menlo Park, California
  • Valued at over $800 billion
  • Significant investments in Oculus and AR/VR technology

Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...

🎁 Benefits

Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...

🌟 Culture

Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...

🌐 WebsiteAll 1037 jobs →
Meta (Facebook)

Technical Program Manager, AI Network Infra

Meta (Facebook) • Denver, CO, Bellevue, WA, Austin, TX, Menlo Park, CA, Seattle, WA

Posted 8 months ago🏛️ On-SiteMid-LevelTechnical program manager📍 Denver📍 Bellevue📍 Austin📍 Menlo park📍 Seattle📍 New york
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Job Description

This position will play a critical role in driving end-to-end AI product introductions and AI operations initiatives supporting Meta’s growing AI/HPC infrastructure for our Family of Apps . They will be responsible for overseeing the entire program lifecycle, from concept to planning to execution to monitoring, ensuring successful delivery and implementation. This includes collaborating with cross-functional Engineering teams to define scope, goals, and timelines, as well as leading the cross functional teams in delivering the business outcomes. They will help solve some of the most challenging networking problems in the industry, drive innovative, creative and ground-breaking solutions and technologies. As such, they need to understand the problem space and domain in depth, create roadmaps, prioritize based on impact and drive product development from concept to production. They will operate in a multi-organization landscape.

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