AdTechTalent
Product9 days agoOn-site

The Trade Desk

Staff Product Manager

product managementidentityadvertisingmarketing technologySQLPythonRdata analysisprivacyfrequency managementcross-devicecross-channeldata scienceclean roomsUID2

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Singapore, Singapore

Full job description

The Trade Desk seeks a Senior or Staff Product Manager to lead strategy and execution of Identity products focused on identity quality, frequency management, and privacy-first innovation. Based in Singapore, this role involves defining product strategy, owning the roadmap, partnering with Data Science to measure impact, and driving cross-functional execution with Engineering, Legal, Privacy, and Commercial teams. Requirements include 5+ years (Senior) or 8+ years (Staff) product management experience in advertising or marketing technology, strong cross-functional collaboration skills, data-driven problem solving, excellent communication, and proficiency in SQL and data analysis tools. Experience with privacy technologies and identity frameworks is a plus.

What you'll do

  • Define product strategy for identity quality, resolving people, households, and devices accurately and at scale
  • Own roadmap for cross-device, cross-channel frequency management to control ad frequency
  • Integrate identity precision with frequency intelligence to improve capping, delivery, and performance
  • Partner with Data Science to define identity quality metrics, build models to surface quality gaps, and measure impact on platform and campaign performance
  • Drive cross-functional execution and alignment with Engineering, Data Partnerships, Legal, Privacy, and Commercial teams
  • Ship iteratively by defining success metrics, launching incrementally, measuring business impact, and optimizing continuously

Requirements

  • 5+ years of Product Management experience (Senior) or 8+ years (Staff), ideally with advertising or marketing technology companies
  • Ability to work well with cross-functional teams including engineers, data science, partnerships, and commercial teams
  • Ability to find answers in data to iterate on the product and solve complex technical problems
  • Sustained track record of making significant, self-directed, end-to-end contributions to large impactful projects
  • Excellent communication and presentation skills, including writing detailed product specifications
  • Experience working with distributed teams across time zones (nice-to-have)
  • Background in math, statistics, or data science (nice-to-have)
  • Proficiency in SQL and at least one data analysis tool such as Python or R (nice-to-have)
  • Experience with privacy-enhancing technologies, clean rooms, and familiarity with identity frameworks (nice-to-have)

Tech stack

SQLPythonRdata analysis toolsprivacy-enhancing technologiesclean roomsidentity frameworks

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