Staff Product Manager, AI-Powered Commercial Intelligence

The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers –– and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

So, if you are talented, driven, creative, and eager to join a dynamic, globally-connected team, then we want to talk!

WHO WE ARE LOOKING FOR 

THIS ROLE IS AT THE INTERSECTION OF AI AND REVENUE OPERATIONS: This is a strategic Product Management role where you’ll embed AI capabilities into the commercial workflows that power The Trade Desk’s global go-to-market engine. You’ll work at the intersection of large language models, agentic AI workflows, and enterprise sales operations — surfacing intelligent insights and optimizing workflows that help our commercial teams work faster, forecast with confidence, and focus on what matters most: winning and growing client relationships. 

Our Business Technology team owns the commercial operations ecosystem at The Trade Desk — the internal systems, platforms, and workflows that enable our revenue organization to operate at scale. We serve Business Development, Client Services, Revenue Operations, Finance, Legal, Deal Desk, Marketing, and Platform Support teams across the entire revenue lifecycle from prospecting through renewal. 

We’re looking for a Product Manager who has a proven track record of deploying AI solutions in enterprise GTM or revenue operations environments. You should get excited about building an AI-powered Sales Command Center, designing intelligent deal routing that cuts cycle times, or creating predictive pipeline models that surface risks before they impact the business. Your customers are internal commercial teams — sellers, account managers, traders, and operations leaders — who need AI that is practical, trustworthy, and embedded in their daily workflows. 

The Trade Desk Product Team hires courageous, passionate PMs who set big goals and execute them. We help you grow and challenge you with hard, meaningful work. We celebrate our successes and learn from our failures together. We value and develop strong leadership, asking our PMs to take on ambitious and often ambiguous projects that promise to extend our lead in the industry. 

WHAT YOU WILL BE DOING 

As the Staff PM for AI-Powered Commercial Intelligence, you will own the vision, strategy, and execution of AI capabilities across our Business Technology portfolio. AI is not a separate initiative on our roadmap — it’s embedded in how we build. Every strategic theme in our 2026 roadmap has an AI dimension, and you will be the driving force behind making those capabilities real. 

On a typical day, you might: 

• Evaluate and select AI/LLM platform vendors (e.g., Microsoft Power Platform, Salesforce Einstein/Agentforce, workflow automation platforms) for integration into our commercial operations stack 

• Design an agentic AI workflow that automatically routes and prioritizes deals based on deal attributes, historical patterns, and pipeline signals 

• Collaborate with RevOps to build predictive models that surface pipeline risks, coverage gaps, and expansion opportunities before they impact the forecast 

• Architect the Sales Command Center product vision — a single pane of glass for commercial teams with AI-generated prioritized action lists drawn from conversations, emails, activities, and platform signals 

• Write a technical specification for AI-powered task automation that generates tasks from campaign events, underpacing alerts, and advertiser behavior 

• Present an AI adoption strategy to GTM leadership, articulating ROI, change management approach, and phased rollout plans 

• Analyze adoption metrics and user feedback to iterate on AI features — measuring whether intelligent automation is reducing cognitive load for sellers 

 

Your responsibilities include: 

• Owning the AI s