채용
Benefits & Perks
•Equity
•401(k)
•Equity
•401k
Required Skills
Market research
Competitive intelligence
Data analysis
Python
Excel
Quantitative analysis
Meta is seeking an experienced market research and intelligence analyst to drive strategic insights related to AI and digital infrastructure. In this high-visibility role, you will shape how Meta understands and responds to the rapidly evolving AI infrastructure landscape, directly informing executive-level decisions that guide billions of dollars in infrastructure investment.
You will have the opportunity to lead research initiatives covering the full spectrum of infrastructure domains-from silicon and hardware supply chains to data center development, networking, and AI compute. Your work will translate complex market dynamics into clear, actionable intelligence that helps Meta maintain its competitive edge in the race for infrastructure advantage.
Infrastructure Market Intelligence Lead Responsibilities:
- Develop and deliver executive briefings on infrastructure industry trends, competitive dynamics, and strategic implications
- Conduct market research and competitive analysis across infrastructure domains including data centers, silicon, energy, networking, and AI compute
- Build and maintain cross-functional partnerships with internal domain experts and external industry sources
- Manage recurring intelligence products, dashboards, and monitoring systems to track market developments
- Lead end-to-end research projects from scoping through delivery, managing timelines and stakeholder expectations
- Synthesize complex technical and market information into clear, actionable insights for leadership
- Establish and mature market intelligence program
Minimum Qualifications:
- Bachelor's degree in economics, business, engineering, public policy, or related analytical field
- 10+ years of experience in market research, competitive intelligence and analysis, strategy consulting, sell-side or buy-side research, or related analytical roles
- Experience conducting primary research (interviews, channel checks) and secondary research (industry reports, financial filings, technical publications)
- Experience with quantitative analysis including data modeling and working with datasets in Excel/Google Sheets, Python, R, or similar tools
- Experience presenting findings and recommendations to executive leadership
- Experience managing complex research projects under own initiative
- Experience building and maintaining cross-functional partnerships across a broad range of stakeholders
Preferred Qualifications:
- Master's degree (MS, MA, CFA, MBA)
- Experience in infrastructure-related sectors such as data centers, semiconductors, energy, telecommunications, or cloud computing
- Experience with data visualization tools (e.g., Tableau, Power BI) and dashboard development
- Experience with financial modeling, demand forecasting, or econometric analysis
- Experience working with independent research firms, industry analysts, or expert networks
- Experience developing and operationalizing market intelligence programs
- Professional network within technology infrastructure or related industries
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 Whats App 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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$160,000/year to $232,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Technical Program Manager
915 reports
$326,766
total / year
Base
$188,428
Stock
$105,343
Bonus
$32,995
$220,456
$506,368
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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