Product Manager Graduate (Content and Service, Search Ads) - 2027 Start
TikTok
- Location
- San Jose, California, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- New Grad
- H-1B history
- 148 approvals (FY2023)
Skills
About this role
As TikTok has become one of the world's leading social media platforms, TikTok Search Ads is committed to making every search more valuable by delivering user content that matches their needs, maximizing the effectiveness of client advertising campaigns, and thus improving TikTok's monetization efficiency. As a team member, you will leverage qualitative/quantitative research to collect user feedback, develop deep understanding and empathy for our clients, and collaborate cross-functionally with design, product, and marketing teams to meet business needs.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities: - Own search ads metrics analysis, lead advertiser performance deep-dives by vertical, and turn insights into product strategy and iteration. - Diagnose delivery-funnel pain points and drive optimization of recall, ranking, and bidding models; apply LLM/AI to query understanding, intent matching, and creative generation, with clear evaluation standards. - Define product plans, priorities, and roadmaps against business goals; align partner teams and ensure delivery, identifying where new AI capabilities can step-change advertiser efficiency. - Support GTM through data analysis, user feedback, and requirement collection. - Drive execution with cross-regional R&D, design, data science, operations, and sales teams; own data monitoring, weekly reports, and core dashboards, leveraging AI tooling to scale analysis.