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Virtual Meta Ai Jobs in California (NOW HIRING)

Meta is hiring a Monetization Policy Manager with expertise in privacy, AI, and technology policy ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta is hiring a Monetization Policy Manager with expertise in privacy, AI, and technology policy ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... Meta's AI-powered products and platforms. In this role, you will operate at the intersection of ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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Virtual Meta Ai information

What is a Virtual Meta AI?

A Virtual Meta AI refers to an artificial intelligence system that operates in virtual environments, often to manage, moderate, or enhance user experiences within digital spaces such as the metaverse. These AI can interact with users, automate tasks, facilitate virtual events, and provide support or information. They are designed to understand natural language, learn from interactions, and adapt to the needs of a virtual community or platform. Virtual Meta AI are increasingly used in gaming, virtual workplaces, and online social platforms to create more immersive and responsive digital experiences.

How does a Virtual Meta AI specialist typically collaborate with cross-functional teams to implement AI solutions?

Virtual AI Specialists often work closely with software engineers, data scientists, and project managers to design, develop, and deploy AI-driven applications. Collaboration usually involves participating in virtual meetings, sharing progress updates, and integrating feedback from different departments to refine models and algorithms. Effective communication and documentation are essential, as team members may be in various locations and time zones. This collaborative structure fosters innovation and ensures that AI solutions align with business objectives and user needs.

What are the key skills and qualifications needed to thrive as a Virtual Meta AI engineer, and why are they important?

To thrive as a Virtual AI Engineer at Meta, you need strong programming skills in languages like Python or C++, a solid understanding of machine learning algorithms, and a background in computer science or a related field. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with distributed computing, and sometimes certifications in AI or cloud platforms are valuable. Outstanding problem-solving ability, strong collaboration, and effective communication help you innovate and work well within cross-functional teams. These skills and qualities drive the development of reliable, high-impact AI solutions that are central to Meta's products and user experiences.

What is the difference between Virtual Meta Ai vs Virtual Data Analyst?

AspectVirtual Meta AiVirtual Data Analyst
Required CredentialsAI certifications, programming skillsStatistics, data analysis certifications
Work EnvironmentRemote, AI-focused projectsRemote, data interpretation tasks
Employer & Industry UsageTech companies, AI startupsBusiness, finance, marketing sectors
Common Search & ComparisonYesYes

Virtual Meta Ai primarily involves developing and managing AI models, requiring programming and AI certifications. In contrast, Virtual Data Analysts focus on interpreting data to inform business decisions, often with statistics and data analysis credentials. Both roles are remote and widely used across tech and business industries, but they serve different functions within data and AI ecosystems.

What are the most commonly searched types of Meta Ai jobs in California?

The most popular types of Meta Ai jobs in California are:

What are popular job titles related to Virtual Meta Ai jobs in California?

For Virtual Meta Ai jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Virtual Meta Ai jobs?

Cities in California with the most Virtual Meta Ai job openings:

Infographic showing various Virtual Meta Ai job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Principal, AI Cloud Infrastructure Commercial Sourcing

Meta

Fremont, CA • On-site

$225K - $279K/yr

Full-time

Re-posted 2 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies


Job description

Meta designs, builds, and operates one of the world's largest and most advanced AI infrastructure footprints. As demand for AI compute accelerates, securing the right cloud capacity at the right cost, speed, silicon mix, and terms is a key strategic and consequential lever for the company. Meta is seeking a Principal, AI Infrastructure Cloud Commercial Sourcing to lead the commercial strategy strategic supplier relationships that power our AI research and product needs. This is a senior, high-visibility role with responsibility for sourcing Meta's AI cloud capacity. Partnering closely with our Research, product, hardware and software engineering, finance, and legal teams, you will own the commercial engagements and executive partnerships with some of our most important cloud providers shaping multi-year, large-scale agreements that directly enable Meta's AI roadmap. You will set sourcing strategy, lead complex negotiations, develop supply optionality, and translate ambitious research needs into durable commercial structures that balance time-to-capacity with total landed cost.
Responsibilities
Structure, negotiate, and execute complex, high-value commercial agreements for large scale AI cloud capacity; Drive and own master supply agreements.
• Own executive relationships with the leadership of our most strategic cloud providers.
• Influence supplier roadmaps, business models, and capacity commitments.
• Translate AI research and product needs into a clear cloud capacity sourcing roadmap.
• Identify risks and develop supply optionality by identifying and qualifying new cloud and technology sources.
• Lead supplier business and executive reviews.
• Ensure cloud supply delivery and manage ramp and performance to commitments.
• Analyze and optimize global cloud spend for maximum efficiency and savings.
Minimum Qualifications
• Bachelor's degree in a related technical or business field, or equivalent practical experience
• 12+ years of business, partnerships, sourcing, or supply chain experience in data center, cloud services, compute, or AI/system hardware supply chains and adjacent industries
• Proven track record structuring and negotiating large-scale, complex commercial agreements with major technology or cloud suppliers
• Direct experience partnering with C-suite executives and leaders at top cloud and technology partners
• In-depth understanding of "should cost" economics and make-vs-buy trade-offs for cloud
• Conduct market research and analysis to understand emerging trends and opportunities
• Experience in AI products and technologies such as AI models, use-cases, and systems
• Demonstrated ability to move seamlessly from strategy to execution
• Experience influencing, negotiating, building consensus, and making strategic decisions
• Experience operating in fast-paced, ambiguous, cross-functional environments requiring independent judgment while coordinating people and technical resources
Preferred Qualifications
• 15+ years of experience, including leadership experience
• MS or MBA degree
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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