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Manager Meta Ai Jobs (NOW HIRING)

Meta

Supply Chain Lead, Large Clusters

Menlo Park, CA · On-site

$179K - $249K/yr

With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and ...

Meta

Area Project Controls Lead, Leased

Menlo Park, CA

$150K/yr

... to Meta's AI and infrastructure strategy. In this role, you will serve as the technical subject ... You will lead a team of analysts representing Meta in managing invoicing, commitments, financial ...

Meta

Network Engineer, Optical Deployment

Reston, VA

$162K/yr

... and scaling of Meta's AI network infrastructure. Network Engineer, Optical Deployment ... Manage key vendor relationships including contract negotiations, pricing, and evaluation of current ...

Meta

Supply Chain Lead, Large Clusters

Menlo Park, CA

$179K/yr

With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and ...

Meta

Network Engineer, Optical Deployment

Denver, CO · On-site

$135K - $191K/yr

... scaling of Meta's AI network infrastructure. Responsibilities Lead the technical deployment ... management tooling About Meta Meta builds technologies that help people connect, find communities ...

Meta

Network Engineer, Optical Deployment

Reston, VA

$135K/yr

... and scaling of Meta's AI network infrastructure. Network Engineer, Optical Deployment ... Proficiency in automation (Python, Go, etc.) and network configuration management tooling About ...

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Manager Meta Ai information

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$29K

$104.6K

$118K

How much do manager meta ai jobs pay per year?

As of Jun 15, 2026, the average yearly pay for manager meta ai in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager at Meta AI, you need a strong background in computer science or a related field, experience managing technical teams, and a deep understanding of artificial intelligence and machine learning concepts. Familiarity with tools like Python, TensorFlow, PyTorch, and experience with large-scale data systems or cloud platforms is typically expected. Excellent leadership, collaboration, and communication skills are crucial for motivating teams and driving cross-functional projects. These skills ensure that teams can innovate effectively, execute complex AI initiatives, and align with Meta's strategic goals.

What does a Manager Meta AI do?

A Manager Meta AI oversees teams that develop and implement artificial intelligence solutions at Meta (formerly Facebook). They are responsible for guiding AI strategy, managing projects, and ensuring the successful deployment of AI technologies across Meta's products and services. This role involves collaborating with engineers, researchers, and stakeholders to achieve business goals while maintaining ethical standards in AI development. Additionally, the Manager Meta AI monitors industry trends and helps shape the company's AI roadmap.

Who is the manager of Meta AI?

The manager of Meta AI is a leadership role responsible for overseeing the development and deployment of artificial intelligence projects within Meta. The specific individual in this role may vary over time as organizational structures evolve. Typically, the manager collaborates with teams of AI researchers and engineers to advance Meta's AI initiatives.

How much do Meta AI workers make?

Meta AI workers, including roles like AI researchers and engineers, typically earn between $120,000 and $200,000 annually, depending on experience, location, and level. Senior positions and those with specialized skills in machine learning or deep learning can earn higher salaries, often supplemented with bonuses and stock options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions like AI CTOs or VP of AI. These roles often require advanced skills in data science, deep learning, and leadership, and may involve managing large teams or strategic AI initiatives within organizations.

What are some common challenges faced by a Manager in Meta AI, and how can they be addressed?

A Manager in Meta AI often encounters challenges such as aligning cross-functional teams, balancing innovative research with business objectives, and managing rapidly evolving technologies. Effective communication and setting clear expectations help bridge gaps between researchers, engineers, and product teams. Additionally, staying current with AI advancements and fostering a collaborative, adaptable culture are key to successfully leading teams through complex projects and constant change.

What is the salary of AI manager?

The salary of an AI manager typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior AI managers with specialized skills in machine learning and leadership may earn higher compensation, often including bonuses and stock options.

What is the difference between Manager Meta Ai vs Data Scientist?

AspectManager Meta AiData Scientist
Primary RoleOversees AI projects, manages teams, and aligns AI strategies with business goalsAnalyzes data, develops models, and extracts insights to inform decision-making
Required SkillsLeadership, project management, AI knowledge, communication skillsStatistical analysis, programming, machine learning, data visualization
Typical EnvironmentTech companies, AI startups, large enterprises with AI initiativesResearch labs, tech firms, data-driven industries
CertificationsAI certifications, management courses, relevant degreesData science certifications, programming credentials, advanced degrees in related fields

While both roles involve AI, the Manager Meta Ai focuses on leading AI projects and teams, whereas the Data Scientist concentrates on analyzing data and building models. The manager oversees strategy and execution, while the data scientist provides technical expertise and insights.

More about Manager Meta Ai jobs
What cities are hiring for Manager Meta Ai jobs? Cities with the most Manager Meta Ai job openings:
What are the most commonly searched types of Meta Ai jobs? The most popular types of Meta Ai jobs are:
What states have the most Manager Meta Ai jobs? States with the most job openings for Manager Meta Ai jobs include:
What job categories do people searching Manager Meta Ai jobs look for? The top searched job categories for Manager Meta Ai jobs are:
Manager Meta Ai jobs near you
Infographic showing various Manager Meta Ai job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 4% As Needed, 6% Full Time, 75% Part Time, 12% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Client Strategy & Operations Manager - Enterprise (New York)

Finster AI

New York, NY • Hybrid

Other

Medical, Dental, PTO

Posted 6 days ago

Job description

Compensation: $165,000-$200,000 + performance based bonus

About Finster AI 

We're a Series A stage firm, redefining the future of finance with our AI-native research and task automation platform, backed by leading, global venture investors. Founded by a team of experts from Google DeepMind, Meta AI, and J.P. Morgan, Finster AI provides cutting-edge solutions to help finance professionals unlock unique insights with greater efficiency and accuracy.  We're seeking a Client Strategy & Ops Manager to help drive customer outcomes and operational excellence as we scale. 

The Role 

As a Client Strategy & Ops Manager, you'll own strategic relationships across Finster's largest enterprise and institutional clients. You'll be responsible for driving adoption, expanding partnerships, and serving as the connective tissue between our clients, product, and go-to-market teams. 

You'll combine financial domain expertise, commercial acumen, and technical fluency to help clients embed Finster's platform deeply into their workflows

  • Drive Client Impact: Lead engagement with senior stakeholders across institutional asset management and capital markets firms to ensure successful onboarding, adoption, and measurable outcomes. 
  • Expand Strategic Relationships: Identify and execute opportunities to expand platform usage and revenue across existing clients, partnering closely with sales and leadership to scale enterprise accounts. 
  • Champion the Client Voice: Translate client feedback into actionable insights for Finster's product and research teams, helping to shape roadmap priorities and long-term product vision. 
  • Operationalize Excellence: Develop playbooks, dashboards and analytics that improve visibility, efficiency, and impact across the commercial organization. 
  • Support Strategic Initiatives: Collaborate with leadership on cross-functional initiatives such as pricing strategy, enterprise support models, and client impact reporting. 
  • Enable AI Adoption: Partner with institutional clients to accelerate AI transformation across their organizations through workflow design, enablement, and hands-on support. 

  

Who You Are 

  • 5-8 years of experience in or servicing asset management, investment banking, private markets, consulting, or capital markets technology. 
  • Experience managing enterprise client relationships and driving outcomes across complex organizations. 
  • Deep understanding of institutional investment workflows and data environments. 
  • Exceptional communication, analytical, and stakeholder management skills. 
  • Highly organized with a bias for action and an ability to thrive in dynamic, ambiguous settings. 
  • Passionate about AI and its transformative potential in financial services. 

You Will Thrive Here if You 

  • Are comfortable being challenged and feel at home with ambiguity and rapid change. 
  • Enjoy working in an entrepreneurial, fast-paced environment where priorities can shift and new opportunities emerge quickly. 
  • Can work autonomously. 
  • Highly collaborative and are an effective communicator. 

Why Finster 

  • Impact: As an early-stage company, you'll be part of the team shaping the commercial and operational foundation of one of the most exciting AI platforms in financial services. 
  • Exposure: You'll work directly with senior leadership and clients at Tier 1 investment banks and asset managers. 
  • Growth: Be part of a company scaling rapidly after Series A, with opportunities to grow the scope and responsibility of your role. 
  • Exceptional team: We are a world class team that combines expertise from AI labs (Google DeepMind, Meta AI) with leading financial institutions (Morgan Stanley, J.P. Morgan, Rothschild & Co, Aviva Investors, Visible Alpha, Revolut).  
  • Culture: We deeply value collaboration, intellectual curiosity, disagreement and high performance. 

Benefits at Finster AI 

We're a growing, cross-functional team that values supporting each other's development. As part of the team, you can expect: 

  • 25 days PTO, excluding bank holidays
  • Flexible working - Our flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Finster AI employees have the flexibility to work from home 2 days per week.
  • Generous healthcare and dental package 

Apply