The Trade Desk currently has 15 active AI-related roles in our index. The most common open titles are: Staff Applied Scientist (3), Senior Product Manager, Audience (2), Applied Scientist II, Data Scientist II, Director of Design Technology. Most positions are in Engineering and Product.
The Trade Desk's active AI hiring is concentrated in: agents (60%), data (20%), post-training (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
The Trade Desk is hiring AI talent in: United States (13 roles), United Kingdom (1 role), Australia (1 role).
Job postings at The Trade Desk most frequently reference: model serving, agent orchestration, llm observability, forecasting, recommender systems.
In the past 30 days, The Trade Desk has posted 3 new AI-related roles. That is a -67% change versus the prior 30 days (9 → 3).
The Trade Desk is actively hiring for 16 AI-related roles, with a significant focus on the agents stage, which accounts for 69% of their current openings. Engineering is the primary function for these positions, followed by product. The majority of these roles are located in the United States. Frequent technical tags include agent_orchestration, llm_observability, and guardrails, suggesting a focus on managing and deploying AI agents. Over the last 30 days, The Trade Desk has added 10 new AI roles, representing a 233% increase compared to the previous 30-day period.
Currently tracking 13 active AI roles, up 14% 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 researching and developing end-to-end ML/deep learning forecasting models for advertising campaign lifecycle, involving signal collection, feature construction, model evaluation, and deployment in collaboration with engineering teams. | Post-train | 7 |
| Staff Applied Scientist Staff Applied Scientist role focused on researching and developing end-to-end ML/deep learning forecasting models for advertising campaign lifecycle, involving signal collection, feature construction, model evaluation, and deployment in collaboration with engineering teams. | Post-train | 7 |
| Senior Product Manager, Audience Senior Product Manager for Audience team, focusing on defining product vision, strategy, and roadmap for next-generation audience targeting, segmentation, and insights tools. The role involves designing and owning Agentic-AI product workflows where AI agents autonomously identify, segment, and activate high-value audiences. Requires end-to-end execution, deep partnership with Engineering and Data Science, and operating as a strategic leader across APAC and globally. | Agent | 7 |
| Staff Product Manager, Generalist Product Manager role focused on improving the developer experience by defining and implementing AI strategy and tools for engineers. This includes understanding developer needs, industry trends, and building AI solutions to enhance efficiency and innovation within the software development lifecycle. | Agent | 7 |
| 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 |
| Applied Scientist II Applied Scientist II role focused on end-to-end ownership of identity products within a large-scale digital advertising platform. The role involves designing, researching, building, and delivering data-focused products using massive datasets and cutting-edge data processing frameworks and scalable algorithms. It also includes acting as a business partner ambassador for identity products. | Data | 7 |
| Software Engineer II - Price Optimization & Bidding Software Engineer II on the Performance Automation team, focused on developing optimization tools for advertising campaigns. This role involves enhancing machine learning model development, creating tools for data scientists' model iteration, experimenting with training architectures, and integrating models into low-latency bidding infrastructure. It also includes developing debugging and analytical tools for real-time system monitoring and adjustment. | DataServe | 7 |
| Senior Applied Scientist , Channel Growth Senior Data Scientist role focused on designing, building, and scaling data-driven solutions for forecasting, pacing, and recommendation systems in emerging channels. The role involves developing advanced ML/DL models, optimizing algorithms, and collaborating with engineering and product teams for end-to-end ownership from research to production. | Agent | 7 |
| Staff Applied Scientist , Inventory & Marketplace Quality Staff Applied Scientist role focused on building and productionizing statistical and machine learning models for fraud detection, invalid traffic, and inventory quality in the digital advertising marketplace. The role involves technical ownership of the data science roadmap, designing and deploying models, defining metrics, and developing analytical frameworks. It also requires cross-functional collaboration with engineering and product teams, and leadership/mentorship of other data scientists. The position emphasizes end-to-end project ownership in adversarial, large-scale environments. | AgentEval Gate | 7 |
| Sr AI Engineer Senior AI Engineer role focused on designing, developing, and deploying internal AI solutions using LLMs, RAG, and agentic systems to improve productivity and streamline workflows within The Trade Desk. The role involves end-to-end ownership, collaboration with stakeholders, and AI enablement across the company. | Agent | 7 |