WHAT YOU WILL BE DOING Own product strategy and roadmap for TTD's in-platform audience experiences Design end-to-end workflows for building and assigning campaign seeds to audiences from first- and third-party data for activation Partner closely with engineering, design, and data science to deliver best-in-class advertiser-facing experiences Drive adoption of audience features with agencies, brands, and internal trading teams Use AI to move faster, applying AI tools across research, requirements, analysis, and delivery to raise the pace and quality bar of your PM work Define and track success metrics for audience products, including audience quality, performance, and revenue impact Represent the audience product vision internally and externally with brands and agencies WHAT YOU BRING TO THE TABLE Bachelor's degree or equivalent practical experience 7-10+ years of product management experience, ideally in advertising technology or an adjacent platform business, with a proven track record of launching complex, data-intensive products Proven experience taking products from concept to launch, navigating ambiguity and validating demand along the way Deep understanding of how advertisers build and use audiences (segmentation, seed audiences, lookalikes) and how audience signals flow through programmatic pipes Experience working with first-party and third-party data, DMPs/CDPs, or data marketplaces Strong technical and UX fluency; comfortable partnering closely with engineering, design, and data science to turn complex data into a simple advertiser-facing workflow Hands-on AI experience: you've used AI tools to accelerate research, requirements, analysis, or delivery Experience crafting Product Requirements Documents and driving cross-functional execution in a matrixed environment A demonstrated point of view on where audience targeting is headed as the open internet evolves The Trade Desk does not accept unsolicited resumes from search firm recruiters. This person deeply understands how advertisers think about audience strategy, has strong product and UX instincts, and partners closely with the adjacent product teams to make sure the right data and capabilities show up in the right workflow at the right time.