Media · Programmatic advertising
Currently tracking 12 active AI roles, up 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $125k–$252k (avg $186k).
| Title | Stage | AI score |
|---|---|---|
| Staff Applied Scientist Staff Applied Scientist role focused on building and scaling AI/ML systems for digital advertising, including control systems, recommendation engines, and time series models. Requires strong ML, statistics, and experimental design skills, with experience in end-to-end project ownership from research to production. | Ship | 7 |
| Staff Software Engineer – Agentic AI Staff Software Engineer role focused on Agentic AI within a large-scale digital advertising platform. The role involves end-to-end ownership of designing, building, and delivering products, with opportunities to work on distributed systems, data challenges, and machine learning. Emphasis on technical leadership, mentoring, and contributing to the team's growth. | Agent |
| 5 |
| Senior Accountant Senior Accountant role focused on US GAAP month-end close for European subsidiaries, lease and fixed asset accounting, and regional fluctuation analysis. Requires experience with Oracle or similar ERP systems and strong Excel skills. | — | 0 |
| Lead Staff Software Engineer Lead Staff Software Engineer role at The Trade Desk, focusing on end-to-end ownership of designing, building, and delivering data-focused products. The role involves technical leadership, project execution, and people management within an agile, global environment. Responsibilities include code reviews, contributing to team objectives, roadmap development, execution planning, team efficiency analysis, and managing a small team. Requires strong engineering fundamentals, experience with cloud platforms (AWS, Azure), OO programming (C#, Java, C++), and distributed systems. The role emphasizes creative thinking, learning, innovation, and collaboration. | — | 0 |
| Lead Systems Reliability Engineer (Linux & Distributed Systems) Lead Systems Reliability Engineer role focused on building and maintaining a data-driven platform at global scale, involving real-time processing with low latency. Responsibilities include infrastructure automation, owning operations for Linux-based systems (Aerospike, Kafka, Mongo), reviewing new use cases, and benchmarking hardware. The role involves deep performance engineering and collaboration with hardware/software vendors. | — | 0 |