Jobs
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Generous paid time off and holidays
•401(k) matching
•Parental leave
•Equity
•Healthcare
•Parental Leave
Required Skills
JavaScript
TypeScript
PostgreSQL
As Meta's datacenter infrastructure grows rapidly in scope and scale the increased technical complexity and velocity of new product introductions requires organization and integration of activities across numerous internal and external teams and manufacturing sites.
Meta's Infrastructure organization is seeking an experienced New Product Introduction Program Manager to act as the single threaded program owner across the Supply Chain organization to navigate an ambiguous development environments, bring clarity and alignment, identify critical path and blockers and manage risks to drive successful on-time and on-quality NPI delivery of Meta's highest-priority AI, compute, storage & network hardware across our global data center footprint.
This position will work closely with external manufacturing partners and Meta internal stakeholders including AI & Hardware Engineering, Technical Program Management, Manufacturing Operations, and all Supply Chain functions.
NPI Program Manager Responsibilities:
- As single-threaded owner for Meta's Supply Chain organization, apply hands-on program management skills and techniques to drive overall schedule, build & test readiness, factory readiness, material readiness, and risk management, internal and external escalations and program communications to achieve on-time and on-quality execution of NPI builds for AI compute, storage and network hardware programs
- Act as primary liaison between Meta's Supply Chain organization and all internal and external partners for covered programs
- Drive build readiness including all Supply Chain deliverables and daily build issue debug cadence across Meta's Supply Chain and internal and external engineering and manufacturing partners
- Drive manufacturing, test and material readiness, infrastructure
- Own program risk identification, mitigation, management and communication across Meta's Supply Chain organization
- Own overall program communication strategy and execution across Meta's supply chain organization and internal and external partners
- Drive factory ramp readiness with internal and external engineering and manufacturing partners
- Own and drive program escalations across Meta internal and external teams and partners
- Identify operational pain points and improvement opportunities across internal and external processes and workflows and drive improvements across multiple teams and functions
Minimum Qualifications:
- Bachelor's degree in a directly related field, or equivalent practical experience
- 6+ years of relevant work experience with in computer hardware and/or networking manufacturing, shop floor control, supply chain execution, manufacturing testing and product lifecycle management tools and processes
- Experience in NPI product life-cycle, program management including program kickoff, stakeholder influence & strategy, workstream prioritization, driving cross-functional execution and establishing working relationships across multi-disciplinary teams
- Technical background in engineering or manufacturing in AI, compute, or networking space
- Effective demonstrated skill to adapt, take initiative and thrive in ambiguity
- Knowledge of manufacturing-specific roles & responsibilities throughout NPI phases including HW, SW, manufacturing, product, process, test & quality engineering, reliability, and quality assurance
- Knowledge of supply chain-specific roles & responsibilities throughout NPI phases including procurement, planning, product lifecycle management, materials management, demand and supply planning, and logistics
- Knowledge of manufacturing test processes & systems, including quality inspections, automated server, storage and integrated rack testing
- Knowledge of PLM concepts including BOMs, ECO / MCO, deviations, part substitutions, effectivity date management, quality management systems
- Proven communication and presentation skills
Preferred Qualifications:
- M.S. in hardware engineering, manufacturing engineering or a related technical discipline, or equivalent experience
- Experience sourcing and managing global (Asia, EU, LATAM) suppliers and manufacturing partners
- Experience with risk management and disaster & recovery best practices related to hardware manufacturing facilities, processes and goals
- Experience with data center hardware architecture and deployment
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.
$140,000/year to $198,000/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%
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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 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
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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