Own the regional on-call service strategy, operating model, and service delivery roadmap to ensure effective support for internal stakeholders, sellers, and creators.
Establish and continuously improve the escalation management framework, including KPIs, SOPs, workflows, ticketing processes, severity definitions, response standards, and governance mechanisms.
Own critical or high-risk escalations, ensuring timely coordination, clear ownership, effective resolution, and transparent stakeholder communication.
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Own the regional on-call service strategy, operating model, and service delivery roadmap to ensure effective support for internal stakeholders, sellers, and creators.
Establish and continuously improve the escalation management framework, including KPIs, SOPs, workflows, ticketing processes, severity definitions, response standards, and governance mechanisms.
Own critical or high-risk escalations, ensuring timely coordination, clear ownership, effective resolution, and transparent stakeholder communication.
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Develop, implement and manage new product or service launch readiness programs to ensure trustworthy and excellent service experiences - maintaining or improving customer satisfaction and cost efficiency.
Manage and prioritize global and regional projects related to TTS partners (Sellers and Creators) / customers (Buyers) experience and service quality. Collaborate with cross-functional teams and stakeholders to identify, evaluate and address risks, opportunities and dependencies across project stages.
Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant impact.
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Responsible for the construction of TikTok local services product catalog build up, designing corresponding catalog data models, uploading process, management process and relevant user flows.
Manage the development of tools and product roadmap for merchants, including product planning, business design, and promoting product iterations.
Collaborate closely with operations, merchants/service providers, and other relevant departments. Align business requirements and drive the enhancement of end-to-end capabilities for products and merchant services.
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You will be responsible for ensuring AI Data Labeling program/project is successful through strong service delivery of core SLAs/KPIs/goals (Productivity, Quality, Latency, Wellness, etc).
You will be responsible for holding the partner/vendor site accountable and helping a set clear path towards operational excellence.
You will be responsible for managing complex vendor and internal stakeholder relationships and ensure adherence to standard operating procedures.
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You will be responsible for ensuring AI Data Labeling program/project is successful through strong service delivery of core SLAs/KPIs/goals (Productivity, Quality, Latency, Wellness, etc).
You will be responsible for holding the partner/vendor site accountable and helping a set clear path towards operational excellence.
You will be responsible for managing complex vendor and internal stakeholder relationships and ensure adherence to standard operating procedures.
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Lead data annotation projects: manage the end-to-end execution of multiple projects, ensuring performance targets and SLAs are met.
Serve as the primary stakeholder interface for key internal requestors: translate product or business needs into clear labeling project requirements, align on targets, support workforce management planning, and develop delivery plans.
Drive delivery governance and cross-functional collaboration: establish operating rhythms, execution reviews, and escalation frameworks across QA, vendor, and business teams.
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Lead data annotation projects: manage the end-to-end execution of multiple projects, ensuring performance targets and SLAs are met.
Serve as the primary stakeholder interface for key internal requestors: translate product or business needs into clear labeling project requirements, align on targets, support workforce management planning, and develop delivery plans.
Drive delivery governance and cross-functional collaboration: establish operating rhythms, execution reviews, and escalation frameworks across QA, vendor, and business teams.
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Drive strategic initiatives that improve the effectiveness, scalability, and long-term direction of AI-related operations within Trust & Safety.
Partner with cross-functional teams including product, operations, policy, data, and engineering to identify key business challenges, define priorities, and drive execution against strategic goals.
Analyze operational performance, emerging risks, and industry trends to identify opportunities for process improvement, capability building, and organizational optimization.
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Drive strategic initiatives that improve the effectiveness, scalability, and long-term direction of AI-related operations within Trust & Safety.
Partner with cross-functional teams including product, operations, policy, data, and engineering to identify key business challenges, define priorities, and drive execution against strategic goals.
Analyze operational performance, emerging risks, and industry trends to identify opportunities for process improvement, capability building, and organizational optimization.
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