Staff Product Manager, AI-Driven Analytics & Reporting

The Trade Desk; Bellevue (NY); On-site; USD 201,400 - 251,800; Full time

Benefits offered by this job

Healthcare benefits (medical, dental,

401(k) with company match

Paid time off

Employee Stock Purchase Plan

Job summary

The Trade Desk is seeking a Staff Product Manager to own a comprehensive reporting domain at scale. You will shape a multi-year strategy for data exploration, visualization, and delivery, working with engineering, data science, and commercial teams to drive impact across global markets.

You will lead with product taste, technical fluency, and deep user empathy, building data products that practitioners rely on while advancing AI-native reporting interfaces and data collaboration capabilities.

Qualifications

• 6+ years of product management experience building products at scale in ad tech or data-intensive SaaS.
• Strong track record delivering data products: dashboards, APIs, insights, or delivery.
• Data as a product mindset with focus on quality, consistency, and trust.
• Ability to partner with engineers on architecture, data pipelines, and APIs.

Responsibilities

• Define multi-year strategy for reporting experiences across data exploration, visualization, and delivery.
• Identify white-space opportunities and AI-assisted analysis within reporting.
• Lead domain ownership end-to-end, influencing resources and roadmap without people management.
• Collaborate with engineering and data science on scalable platform architecture.

Skills

PM at scale

Ad tech experience

Data products

Technical fluency

User empathy

Job description

The Trade Desk is seeking a Staff Product Manager to own a comprehensive reporting domain at scale. You will shape a multi-year strategy for data exploration, visualization, and delivery, working with engineering, data science, and commercial teams to drive impact across global markets.

You will lead with product taste, technical fluency, and deep user empathy, building data products that practitioners rely on while advancing AI-native reporting interfaces and data collaboration capabilities.