TikTok Shop - Seller&Creator Automation Program Manager
TikTok
Description
Responsibilities
E-commerce's Governance and Experience (GNE) is a global team responsible for maintaining a safe and trustworthy marketplace for users, sellers, and creators. The Seller & Creator Service Strategy & Automation team owns the service strategy and the automation capability behind it — deciding what sellers and creators should be able to resolve without a human, and building the agent capability that delivers it across every market. We are looking for an automation program manager to own that resolution capability — moving it from prompt-and-knowledge configuration to executable, versioned Skill contracts backed by MCP tools, and proving out the gains market by market through controlled experiments.
Roles & Responsibilities
- Define what the agent can resolve.
Turn seller and creator service scenarios into executable Skill contracts — what's in scope, what the agent may act on, and where it must stop.
- Shape the tool layer.
Work with product and engineering to define the capabilities the agent needs to actually complete a task, not just answer a question.
- Set the automation boundary.
Partner with policy and regional service owners on which scenarios are automated, which stay human-assisted, and where the handoff sits.
- Launch and prove it.
Take solutions live through controlled experiments, own the readout, and make the call on whether a capability is ready to scale.
- Scale across markets.
Extend and adapt capabilities across regions, business models, and both seller and creator surfaces.
- Own the automation metrics.
Break the broad automation rate down to its component metrics, set targets on each, and keep measurement definitions aligned ahead of rollout.
- Keep it improving.
Monitor resolution quality in production, attribute failures to their root cause, and turn findings into the next round of changes.
QualificationsMinimum Qualification(s)
- Bachelor's degree or higher.
- 3+ years in service automation, conversational AI, or LLM application delivery — with at least one agent or chatbot capability you owned end to end from design to launch.
- Hands-on understanding of LLM agent mechanics: tool calling, ReAct-style loops, context construction, and where retrieval should and should not substitute for a tool call.
Prompt engineering is table stakes, not the job.
- Ability to read and challenge experiment results: A/B design, significance, and the difference between in-scenario and overall denominators.
SQL or equivalent self-serve data capability.
- Comfortable specifying interfaces with engineering — API/tool semantics, batch behavior, failure and idempotency handling — without owning the implementation.
- Strong problem-solving and change-management skills; able to drive results across product, algorithm, policy, and regional service teams in a deadline-driven, multi-market environment.
Preferred Qualification(s)
- Experience operating across multiple regional markets.
- eCommerce marketplace experience, or experience serving creator/content ecosystems, is a plus.