Staff Product Manager, AI-Powered Commercial Intelligence

The Trade Desk•Bellevue, WA

25d

About The Position

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.

Requirements

6+ years of GTM / RevOps / Product / Program experience, with at least 2 years focused on AI/ML-powered products, internal tools, or enterprise platforms
Hands-on experience with AI agentic workflows and LLM-based SaaS platforms — you have personally scoped, evaluated, and deployed AI solutions in a GTM, sales operations, or revenue operations context (not just observed them)
Deep understanding of commercial/GTM operations workflows — lead-to-cash, pipeline management, forecasting, deal desk operations, account planning, or revenue operations. You understand the pain points because you’ve lived them or built solutions for them
Proven track record of building data-driven business cases and delivering measurable impact — you can articulate results in terms of hours saved, cycle time reduced, forecast accuracy improved, or revenue accelerated
Experience with CRM as a platform — you understand CRM platforms and architecture, data models, and the ecosystem of tools that extend it (Microsoft Power Platform, Salesforce Agentforce, AppExchange, workflow automation platforms)
Strong analytical skills with the ability to work directly with data — SQL proficiency, comfort building dashboards and reports, and the ability to define and track KPIs that measure AI adoption and business impact
Excellent communication skills — you can translate AI capabilities into business value for sales leadership, articulate technical trade-offs to engineering, and drive consensus across diverse stakeholder groups

Nice To Haves

Experience building or deploying AI-powered sales intelligence, conversation intelligence, or revenue intelligence platforms (e.g., Gong, Clari, Microsoft Power Platform, People.ai, Salesforce Sales Cloud Einstein, or similar)
Familiarity with modern AI/ML concepts including LLMs, RAG architectures, prompt engineering, AI agents, function calling, and model evaluation — you don’t need to build models, but you need to know what’s possible and what’s practical
Experience with change management and driving AI adoption across large sales or commercial organizations — you understand that technology alone doesn’t drive outcomes; adoption does
Background in advertising technology, media, or high-growth B2B SaaS environments with complex commercial motions
Experience with workflow automation platforms that integrate with Salesforce and other enterprise systems (e.g., Workato, Tray.io, MuleSoft, or custom integrations)
Durability and grit — sometimes solutions take creative thinking, multiple iterations, and staging while dependencies solidify. You try many different approaches to find the right answer
Enthusiasm for the rapid evolution of AI capabilities and a desire to stay on top of emerging tools, frameworks, and best practices in AI-powered enterprise operations

Responsibilities

Owning the AI strategy and roadmap for the Business Technology team — defining where AI creates the highest-leverage impact across intelligent automation, proactive insights, enhanced decision-making, reduced cognitive load, and scaled personalization
Delivering an AI Enabled Platform for GTM and Sales Operations — a platform-based approach to introduce AI into commercial workflows without building custom one-off solutions for every use case
Partnering deeply with cross-functional stakeholders — Revenue Operations, Sales Leadership, Client Services, Finance, and Engineering — to ensure AI solutions solve real problems and drive measurable outcomes
Establishing AI adoption metrics and feedback loops that measure not just deployment but genuine impact on seller productivity, forecast accuracy, and deal velocity
Evaluating and integrating AI/LLM vendors and platforms that sit on top of Salesforce and integrate with core systems — enabling consistent, scalable rollout of capabilities without bespoke development
Championing responsible AI practices — ensuring AI solutions are trustworthy, explainable, and build confidence rather than skepticism among internal users

Benefits

comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
retirement benefits such as a 401k plan and company match
short and long-term disability coverage
basic life insurance
well-being benefits
reimbursement for certain tuition expenses
parental leave
sick time of 1 hour per 30 hours worked
vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter
around 13 paid holidays per year
Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan