Senior Data Platform Product Manager

The Trade Desk, Inc.; San Francisco, Bellevue (CA, NY); On-site; USD 201,000 - 252,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company match

Stock option eligibility

Job summary

The Trade Desk, Inc. is seeking a Staff Product Manager to shape our data platform architecture for a global advertising business.

You will work with senior leaders across product, engineering, and data science to define capabilities, drive faster data-driven decisions, and deliver scalable, trustworthy data experiences. You will partner with engineering to design ingestion, processing, storage, and discovery, ensuring reliable data access for AI-native products and agent-driven workflows, while

Qualifications

• 6+ years of product management experience building data platforms, infrastructure, or technical products at scale.
• Strong communication and organizational influence for senior leaders across functions.
• Experience translating needs into a coherent platform roadmap and investments.

Responsibilities

• Set the vision and strategy for the data platform and translate it into a multi-year roadmap.
• Build relationships with product, engineering, data science, and business leaders to plan data capabilities.
• Turn needs across teams into shared data capabilities and prioritize investments.
• Partner with engineering on data ingestion, processing, storage, and serving; write clear requirements.
• Explain platform investments to both technical teams and business leaders and drive alignment.

Skills

Cross-functional leadership

Platform strategy

Data systems fluency

SQL

Communication

Tools

APIs

Job description

The Trade Desk, Inc. is seeking a Staff Product Manager to shape our data platform architecture for a global advertising business.

You will work with senior leaders across product, engineering, and data science to define capabilities, drive faster data-driven decisions, and deliver scalable, trustworthy data experiences. You will partner with engineering to design ingestion, processing, storage, and discovery, ensuring reliable data access for AI-native products and agent-driven workflows, while