工程经理 - 战略基础设施容量规划

Meta（Meta Platforms）岗位：Engineering Manager - Strategic Infrastructure Capacity Planning Responsibilities

Capacity planning for all of Meta: all software products / services.

Develop and analyze business and technical data and what-if scenarios to drive the highest levels of executive decision making around infrastructure / product investments and strategy, up to the CxO level

Build and maintain high performing team: Hire and retain high-performing engineers. Own career development and health of team to ensure continued growth in capability over time

Assess team performance on an ongoing basis: address under-performance, recognize and promote performance

Maximize the conditions for the team's success: ensure clarity in team vision, priorities, roadmap and key business context.

Develop, maintain, and if needed, fix relationships with cross functional partners across technical and business functions

Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities

Connect the dots: Identify capacity-related issues at all layers of the stack and proactively work across technical and business teams to define and implement solutions

Drive technical discussions: influence technical design and process in partnership with team, review key team outputs. Take on some technical IC work and have strategic influence technically

Develop and maintain effective partnerships across technical and business teams including software service owners, Production Engineering, Server Hardware Engineering, Finance, Server Supply Chain, Network Engineering, Data Center, Operations, and Planning teams to find the most optimal ways to scale our infrastructure and place our services

BS degree in Computer Science, Operations Research, or other technical field, or relevant practical experience

8+ years of engineering work experience, including 3+ years of hands-on engineering people-management

Demonstrated success in managing challenging relationships and competing priorities with executive level partners or customers

Experience applying quantitative and analytical methods to infrastructure planning, capacity modeling, or similar problem domains

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience and demonstrated success with distributed systems and infrastructure planning at scale

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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.

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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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BS degree in Computer Science, Operations Research, or another technical field, or relevant practical experience.

8+ years of engineering work experience, including 3+ years of hands-on engineering people-management.

Demonstrated experience recruiting, developing, and leading technical teams.