Technical Lead, TA Operations
The Trade Desk · New York
About this role
**The Trade Desk — Technical Lead, TA Operations** The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet—from streaming TV and podcasts to mobile apps, news, and more. Talent Acquisition (TA) Operations is building the systems, data, and AI capabilities that power the future of hiring at The Trade Desk. This role focuses on advancing recruiting science, insights, and AI-driven innovation by architecting and integrating the technical infrastructure and data pipelines that make it possible. You’ll own the technical direction for these tools and data products, partnering closely with TA leadership, Recruiting Operations, and Engineering to turn ambiguous business problems into working, validated solutions. --- **What You’ll Do** - Own the technical direction for a talent acquisition platform capability leveraging AI and workflow automation—covering architecture, technology choices, data models, and engineering standards—from requirements through production release. - Design, build, and maintain full-stack applications and operational tools end to end, from development through testing and deployment. - Partner with People Systems and Business Engineering teams to integrate recruiting and HR systems of record (e.g., Greenhouse, Workday, CRM/TRM tools), keeping data pipelines accurate and in sync. - Design and build AI-powered tools, agents, and automations that improve recruiting quality and productivity—continuously evaluating emerging AI capabilities and translating them into practical, adopted solutions. - Partner closely with stakeholders within and outside of the Talent Acquisition team to translate business challenges into scalable technical solutions. - Act as a trusted technical partner to non-technical stakeholders: gather requirements, set expectations, communicate trade-offs, and incorporate feedback through iteration.
Listing freshness
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