技术项目经理，AI基础设施

Lead technical program management of next-generation hardware platform(s) for Meta Infrastructure in a matrix organization covering a range of areas (Data Center, Network, Hardware Systems, Infrastructure Engineering, Software Engineering, Capacity Management) and across multiple physical locations

Own overall program success, spanning the end-to-end development of the hardware product.

spanning internal and external development work through successful ingestion into Meta’s infrastructure and support of production workloads at scale

Develop and manage programs, including defining scope, requirements, development model, schedules, and deliverables with engineering teams, partners, and stakeholders

Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so that the org's capability compounds over time

Support the growth of other TPMs and cross-functional team members by providing mentorship and coaching on AI-native practices

Use AI-enabled tools to build programs and to prototype, validate, and ship tangible artifacts

Influencing broader roadmaps through product interceptions and market fit, competitive analysis, and feasibility studies

Provide hands-on program management during analysis, design, development, testing, implementation, and post-implementation phases

Partner with engineering counterparts across a range of specialties as well as other teams to define product roadmaps

Drive overall communication to leadership, stakeholders, and core working teams in regular cadence

Analyze infrastructure needs and produce hardware designs and prototypes to meet those needs

10+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management experience

Experience operating independently across multiple teams, demonstrating critical thinking and thought leadership

Communication experience and experience working with technical management teams to develop systems, solutions, and products

Experience in establishing work relationships across multidisciplinary teams and multiple partners in different time zones

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

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

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 review)

Demonstrated ability to develop AI-native strategies, including evaluation and data strategies

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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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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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You may view our Equal Employment Opportunity notice here.

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in Computer Science or a related technical discipline, or equivalent experience.

10+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management experience.

Experience using AI tools to accelerate workflows.