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Product Manager, Reporting

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: The Trade Desk
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Business Intelligence, AI Business & Operations
  • Business
    Business Intelligence, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 201400 - 251800 USD Yearly USD 201400.00 251800.00 YEAR
Job Description & How to Apply Below
Position: Staff Product Manager, Reporting Experiences

Who We're Looking For

Reporting and data analytics represent one of the most significant areas of investment at The Trade Desk right now. After building one of the most powerful programmatic platforms in the world, we are making a comprehensive, ground‑up commitment to transform how our customers interact with their data—redesigning reporting experiences across the full stack, with a mandate to build something world‑class. The person who joins at this moment will help define what that looks like.

The scale of the data problem is also exceptional. The Trade Desk operates at a level matched by only a handful of companies globally—processing trillions of events, across billions of ad impressions, in real time, across every channel and market. The technical and product complexity that arises is genuinely hard, and genuinely interesting. Outside of a small number of major technology companies, few environments offer this combination of data scale, business impact, and the greenfield mandate to reimagine what’s possible.

This is a senior, high‑visibility role, and we are looking for a particular kind of product leader: someone who has built data products that practitioners genuinely rely on, who understands the ad‑tech ecosystem from the inside, and who brings both the strategic range to define a multi‑year vision and the rigor to see it through in the details. Product taste, technical fluency, and deep user empathy are not trade‑offs here—we need all three.

What

You’ll Be Doing

As a Staff Product Manager, you will operate as a senior individual contributor—owning a meaningful product domain end‑to‑end, setting the bar for product quality and strategy, and influencing across the organization without formal authority. This is not a people‑management role. It is a domain‑ownership role, and the expectation is that you lead through expertise, judgment, and the quality of what you ship.

Product

Strategy & Vision
  • Define and own the multi‑year product strategy for TTD’s reporting experiences, spanning the data exploration tools, visualization surfaces, delivery capabilities, proactive insights, and AI‑powered interfaces that advertisers and agencies rely on to understand and act on their media investments.
  • Identify and prioritize white‑space opportunities across the reporting and analytics landscape, including emerging approaches to data delivery, AI‑assisted analysis, and data collaboration.
  • Set the strategic direction for how TTD competes and leads in reporting, leveraging the platform’s structural advantages in data transparency and openness—log‑level access and data visibility that walled gardens cannot offer—as a foundation for differentiated experiences that create unique customer value.
  • Define TTD’s approach to AI‑native reporting interfaces—natural language querying, automated insight delivery, and agentic workflows that anticipate user needs and close the loop between data and action—with a clear and grounded view on where these capabilities create genuine user value.
  • Build the business case for reporting investments with the executive team, influencing resource allocation and enterprise‑level product decisions.
Platform & Ecosystem Ownership
  • Own end‑to‑end product vision for TTD’s reporting infrastructure—data exploration and query layer, in‑platform visualization and dashboards, reporting APIs, and scheduled and cloud‑based data delivery.
  • Define product strategy for reporting experiences that operate at internet scale—trillions of data events, billions of ad impressions, global markets and channels—and bring the technical ambition and product judgment required to make that scale invisible to the end user.
  • Define requirements for data pipelines, query performance, API design, and semantic data models that support reporting at scale—embedding reliability, speed, and data integrity at the foundation.
  • Partner closely with engineering and data science on platform architecture decisions that affect performance and scalability of reporting infrastructure across a global, high‑throughput environment.
  • Lead product strategy for data collaboration capabilities, including log‑level data sharing and integrations with…
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