Senior Product Manager, Audience

The Trade Desk The Trade Desk · Media · Sydney, Australia · Product Management

Senior Product Manager for Audience team, focusing on defining product vision, strategy, and roadmap for next-generation audience targeting, segmentation, and insights tools. The role involves designing and owning Agentic-AI product workflows where AI agents autonomously identify, segment, and activate high-value audiences. Requires end-to-end execution, deep partnership with Engineering and Data Science, and operating as a strategic leader across APAC and globally.

What you'd actually do

  1. Defining the product vision, strategy, and roadmap for the next generation of audience targeting, segmentation, and insights tools — setting the direction for how advertisers connect with their highest-value consumers.
  2. Designing and owning Agentic-AI product workflows — building systems where AI agents autonomously identify, segment, and activate high-value audiences at a scale no human workflow could match. You won't just use AI tools; you'll define how they behave.
  3. Owning end-to-end execution for audience and insights products, from discovery through delivery, iterating relentlessly based on data and customer feedback.
  4. Partnering deeply with Engineering, Data Science, and Business teams — aligning on strategy, navigating tradeoffs, and ensuring every release creates measurable customer impact.
  5. Being the voice of the customer — gathering requirements, designing prototypes, prioritizing and scoping releases that represent customers' needs, and working with engineering to bring those products to life and iterate on them over time.

Skills

Required

  • 5+ years of Product Management experience
  • Proven track record of using data to identify opportunities, make decisions, and iterate products toward desired outcomes
  • Ability to write detailed specifications that clearly articulate the "why" behind the problem, not just the "what"
  • Excellent communication and presentation skills
  • Demonstrated ability to align stakeholders across engineering, data science, business, and commercial disciplines
  • Experience working effectively with distributed, cross-functional teams across time zones
  • You have built complex products that took years of iteration to become great — and you can point to your specific contributions
  • A sustained track record of making significant, self-directed, end-to-end contributions to large-scale, impactful software projects
  • Comfortable navigating ambiguity and taking calculated risks
  • solve complex technical problems with creative solutions while managing tradeoffs transparently

Nice to have

  • academic or professional foundation in math, statistics, data science, or a related quantitative discipline
  • background in data science, analytics, or engineering is a strong plus

What the JD emphasized

  • Agentic-AI product workflows
  • AI agents autonomously identify, segment, and activate high-value audiences
  • define how they behave

Other signals

  • AI agents autonomously identify, segment, and activate high-value audiences
  • define how they behave
  • building systems where AI agents autonomously identify, segment, and activate high-value audiences at a scale no human workflow could match