Senior Product Manager - AI-Powered POI Platform

TikTok Inc.; San Jose (CA); On-site; USD 228,000 - 374,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

Paid Personal Time (17 days pro-rated)

Job summary

TikTok Inc. is seeking a lead for an overseas POI data production platform within Local Services, responsible for end-to-end lifecycle from collection to quality evaluation and international expansion.

You will collaborate with engineering and product teams to optimize data strategies, ML models, and KPI-driven improvements, translating business needs into executable roadmaps while driving data quality and operational efficiency.

Qualifications

• Bachelor's degree or above in any discipline.
• Strong analytical skills and data sensitivity to identify issues and build data-driven solutions.
• Strong business acumen to translate user needs into product requirements.
• Fast learner with cross-functional collaboration and end-to-end project ownership.

Responsibilities

• Lead development of an overseas POI data production platform across data collection, processing, enrichment, and quality evaluation.
• Own production efficiency and data quality to enable international business expansion.
• Translate business needs into clear roadmaps; partner with cross-functional teams to deliver data outcomes with AI-enabled innovation.
• Define metrics with engineering to optimize data strategies, ML models, and data quality; coordinate with upstream and downstream teams.

Skills

Analytical skills

Data-driven decisions

Cross-functional collaboration

Project management

Business acumen

Fast learner

Education

Bachelor's degree or above

Tools

CRM platforms

AI-powered tools

Data production platforms

Job description

TikTok Inc. is seeking a lead for an overseas POI data production platform within Local Services, responsible for end-to-end lifecycle from collection to quality evaluation and international expansion.

You will collaborate with engineering and product teams to optimize data strategies, ML models, and KPI-driven improvements, translating business needs into executable roadmaps while driving data quality and operational efficiency.