The Global Monetization Product and Technology organization leads the product, engineering, and operations work behind TikTok's advertising business across global markets.
Our mission is to build innovative products powered by advanced technologies that drive success for advertisers and creators worldwide.
We solve complex challenges in scaling ad solutions across diverse markets, adapting to evolving customer and regulatory needs, and balancing commercial outcomes against a trusted, engaging user experience.
The quality of that work directly influences client success, platform trust, and the sustainable growth of TikTok's global advertising business.
You will shape the future of digital advertising, on work with measurable impact across TikTok's global ecosystem.
About the Team
TikTok's Global Monetization Product and Technology (GMPT) team builds the advertising products that help businesses of every size grow on TikTok.
Within GMPT, the Product Strategy team is a thought partner to product and business leaders.
We bring market intelligence, sharp problem framing and clear trade-offs to the decisions that shape our products.
About the Role
You will support the product leaders behind TikTok's brand, traffic and creative advertising products.
The initial focus is creative and generative AI: how AI is changing the way ad creative is made, scaled and measured, and what that means for GMPT's creative solution.
As priorities evolve, the scope may extend to other strategic topics across the portfolio.
The role sits where one of the fastest-moving areas of AI meets one of the world's largest advertising platforms.
It suits someone who enjoys defining the problem as much as solving it.
Responsibilities
- Build a sharp, fact-based view of the generative AI creative landscape (market size and structure, model and tool providers, startups and their business models, competitors' AI creative offerings) and translate it into clear implications for product, customer and go-to-market decisions.
- Frame and own a research agenda around the questions that matter most for the business, not only the ones already asked.
Set milestones, share work in progress early, and iterate with product and business leaders.
- Partner with product teams on AI creative products: value proposition, business model, adoption barriers (e.g., brand safety, controllability, workflow fit) and go-to-market, with particular attention to North American advertisers and agencies.
- Look across the creative ecosystem, including advertisers, agencies, creators and AI tools, to identify structural opportunities, and turn cross-functional findings into proposals that product, sales and operations teams can act on.
- Combine primary research (advertiser and agency conversations, expert interviews, hands-on testing of AI tools) with data analysis to support key decisions.
- Flexibly take on other strategic priorities across brand, traffic and creative products as the business evolves.