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TikTok

TikTok Shop - Automation Specialist, Operational Risk Analysis

26 days ago• Singapore

About us

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

★ 4.5 out of 5 · 6 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Consumer Internet
View company profile ›

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

Governance and Experience is a global team aiming to build a safe and trustworthy platform for not only users, but also partners. We value user experience and work on policies, rules, products and systems to ensure quality. We are looking for passionate talents to join us, thus together we can build a commerce ecosystem that is innovative, secure and intuitive for our users.

To drive technological transformation, we are leveraging AI-powered governance capabilities to streamline our processes and reduce redundancies. This includes identifying key areas for automation, building highly accurate AI-Agents, collaborating with relevant cross-functional teams to deploy the agents, monitoring and continuously optimising the agents' performance. The role will focus on streamlining and standardizing operational workflows, reducing manual redundancies, and scaling efficiency by leveraging automation, LLMs, and AI agent frameworks. You will be expected to identify process gaps, design intelligent automation solutions, and enable cross-functional teams through shared tooling, optimized controls, and data-driven governance enhancements that improve accuracy, response quality, and organizational throughput.

Responsibilities
- Own automation initiatives that support multiple domains within GNE.
- Build and deploy AI Agents for real governance use cases.
- Partner with cross-functional teams to translate domain needs into scalable automation solutions.
- Use data skills to analyse risks, validate data, and drive process automation and optimisation.
- Identify and assess gaps across the governance lifecycle, from policy development to enforcement, through investigations and root cause analysis. Drive cross-functional collaboration to align on findings, share insights, and build consensus on needed improvements.

Qualifications

Minimum Qualification(s)
- Bachelor's degree or higher.
- Proficiency in SQL and/or Python.
- Strong communication and stakeholder management skills for cross-team and regional coordination.
- Ability to operate in ambiguity and thrive in fast-paced environments with sound judgment.

Preferred Qualification(s)
- Preferably in Computer Science, AI, Data Analytics, or related fields.
- Experience in e-Commerce governance or operations.
- Familiarity with working with major LLMs (e.g., GPT, Claude, Llama) including APIs, prompt engineering, or Agent development.
- Strong solutions architecture background, with the ability to translate complex operational problem statements into scalable automation architectures by integrating systems, data, APIs, AI/LLM capabilities, and existing enterprise tooling.

Responsibilities

Responsibilities

Governance and Experience is a global team aiming to build a safe and trustworthy platform for not only users, but also partners. We value user experience and work on policies, rules, products and systems to ensure quality. We are looking for passionate talents to join us, thus together we can build a commerce ecosystem that is innovative, secure and intuitive for our users.

To drive technological transformation, we are leveraging AI-powered governance capabilities to streamline our processes and reduce redundancies. This includes identifying key areas for automation, building highly accurate AI-Agents, collaborating with relevant cross-functional teams to deploy the agents, monitoring and continuously optimising the agents' performance. The role will focus on streamlining and standardizing operational workflows, reducing manual redundancies, and scaling efficiency by leveraging automation, LLMs, and AI agent frameworks. You will be expected to identify process gaps, design intelligent automation solutions, and enable cross-functional teams through shared tooling, optimized controls, and data-driven governance enhancements that improve accuracy, response quality, and organizational throughput.

Responsibilities
- Own automation initiatives that support multiple domains within GNE.
- Build and deploy AI Agents for real governance use cases.
- Partner with cross-functional teams to translate domain needs into scalable automation solutions.
- Use data skills to analyse risks, validate data, and drive process automation and optimisation.
- Identify and assess gaps across the governance lifecycle, from policy development to enforcement, through investigations and root cause analysis. Drive cross-functional collaboration to align on findings, share insights, and build consensus on needed improvements.

Qualifications

Qualifications

Minimum Qualification(s)
- Bachelor's degree or higher.
- Proficiency in SQL and/or Python.
- Strong communication and stakeholder management skills for cross-team and regional coordination.
- Ability to operate in ambiguity and thrive in fast-paced environments with sound judgment.

Preferred Qualification(s)
- Preferably in Computer Science, AI, Data Analytics, or related fields.
- Experience in e-Commerce governance or operations.
- Familiarity with working with major LLMs (e.g., GPT, Claude, Llama) including APIs, prompt engineering, or Agent development.
- Strong solutions architecture background, with the ability to translate complex operational problem statements into scalable automation architectures by integrating systems, data, APIs, AI/LLM capabilities, and existing enterprise tooling.

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Additional Information

  • Job category: Operations
  • Posted: 26 days ago
Apply on company site
Apply on company site

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