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人员服务交付负责人

雇主

Meta

地点

远程 · Menlo Park · 美国

待遇

$145,000/year

工作模式

远程

截止日期

1月30日

福利
Bonus,Equity,Benefitsbenefits of transformational changebenefits at Metabonus + equity + benefitsbonus, equity or sales incentives, if applicable

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岗位摘要

Lead large-scale people operations programs, drive AI-enabled process improvements, and deliver tool

岗位职责

Meta(Meta Platforms)岗位:People Service Delivery Lead Responsibilities
Own development, organization, and execution of large, complex business and operational programs from inception through delivery, with little to no oversight;
own the program roadmap and scoping, making tradeoffs to optimize time-to-release and clearly communicating goals, roles, responsibilities, and desired outcomes.
Deliver tooling that removes manual effort from people operations workflows.
Partner with Engineering to shape system design and technical direction, translating people operations needs into clear requirements.
Participate in design and solution reviews, holding a high-quality bar for what the team ships.
Deconstruct end-to-end employee lifecycle journeys (from hire through movement, leave, and exit) to identify seams, handoff failure points, and automation opportunities across teams and systems, then build the solutions that address them.
Drive AI-enabled operational improvement, including identifying use cases for automation, workflow optimization, knowledge management, and case deflection, balancing efficiency with employee care and quality outcomes.
Improve efficiency and quality of systems and operations through end-to-end process frameworks and optimization initiatives, and design the change management that drives adoption of new processes, systems, or tooling, including training and communication plans for all levels, locations, and XFN partners.
Partner with HR Tech, engineering teams, and vendors to identify, build, and implement appropriate technology solutions; oversee system integration efforts and ensure smooth transition and adoption.
Identify, escalate, and mitigate program risk proactively rather than reactively.
Move fluidly between audiences (SMEs, payroll leadership, engineering peers, and skip-level leadership), simplifying complex technical concepts for non-technical groups without losing precision, and maintaining open, candid, and trusting working relationships.
Monitor stabilization of changes to ensure processes and systems are executed per design.
Minimum Qualifications
Bachelor's degree in a technical, business, operations, HR, consulting or related fields
8+ years of experience in managing large-scale, global transformation or continuous improvement initiatives aimed at improving business processes, systems, and operations, with demonstrable business results
Domain knowledge of HR, payroll, or people-operations processes, or demonstrated experience in ramping quickly into a complex operational domain
Experience designing or operating HR processes spanning multiple stages of the employee lifecycle (e.g., hire/onboarding, movement, leaves and time away, compensation and payroll events, and offboarding), with an understanding of how upstream decisions create downstream operational load
Experience operating independently through ambiguity on greenfield problems, navigating competing and shifting priorities to maintain momentum, and delivering results in a detail-oriented, highly organized manner
Experience problem-solving using data, translating thorough examination and analysis into action
Experience working in an XFN environment: building relationships, consensus building, and motivating teams at all levels, technical and non-technical, to get colleagues on board with the benefits of transformational change
Preferred Qualifications
Knowledge and understanding of the tech and software industry's business models and core processes
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience in understanding and facilitating change in a dynamic environment: handling challenges and pushback from senior stakeholders
Experience in requirement analysis techniques and methodologies, and delivering business value through process improvement in a high-tech operations space
Comfortable working in a modern web stack (TypeScript, React) environment and able to hold substantive technical conversations with engineering partners
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 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.
United States of America:$145,000/year to $205,000/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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer.
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.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Equal Employment Opportunity Metais proud to be an Equal Employment Opportunity employer.
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.
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申请条件

Minimum Qualifications:
Bachelor's degree in a technical, business, operations, HR, consulting, or related field.
8+ years of experience managing large-scale, global transformation or continuous improvement initiatives aimed at improving business processes, systems, and operations, with demonstrable

雇主简介

Meta 是一家全球领先的科技公司,专注于社交媒体、虚拟现实和人工智能。其视频智能团队致力于推进视频生成和理解技术,以支持创新的 AI 驱动视频创作体验。

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