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# Staff Full Stack Engineer-Agentic Applications GTM

- **Company:** The Trade Desk
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $137,300.0 - $251,800.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Data Cleansing, Software Design Patterns, Python (Programming Language), Salesforce.Com, Software Engineering, TypeScript, Large Language Models, Multi-Agent Systems, Backend, Event Driven Architecture, Graphql, Data Management, Data Pipelines
- **Published:** July 23, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17677882?backUrl=%2Fcareer%2F17677882%2FStaff-Full-Stack-Engineer-Agentic-Applications-Gtm-New-York-New-York

## About the Role

* BS degree in Engineering related discipline and 12+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).
 * Deep fluency in Python and TypeScript/JavaScript, with hands-on experience in agentic frameworks - LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
 * Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS GTM platforms (CRM, sales engagement, data enrichment) programmatically.
 * Experience building full-stack applications end to end - from data pipelines and backend services to the front-end tools sellers and traders actually use daily.
 * Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.

Nice to have:

 * Prior experience in Sales/RevOps tooling, GTM engineering, or internal tooling domains - especially in ad tech, media, or programmatic advertising.
 * Familiarity with Salesforce, Outreach, Gainsight, or similar GTM platforms - especially via API or integration layer.
 * Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in revenue-critical business contexts.
 * Exposure to media buying, campaign performance data, or advertising analytics. #LI-TP1

## Description

* Architect and build agentic systems that automate and augment GTM workflows - pipeline hygiene, account research, call prep, deal risk scoring, forecasting, and rep coaching - using LLM orchestration frameworks( Ex: LangGraph ).
 * Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails for revenue-critical workflows.
 * Integrate core GTM systems (Salesforce, Outreach, ZoomInfo, Slack, and The Trade Desk's own platform data) as agent-accessible tools and data sources via internal data platforms and MCP-style interfaces.
 * Set the technical bar for the pod - reviewing designs, establishing engineering standards, and leading architectural reviews across the GTM Engineering roadmap.
 * Partner directly with Product, Sales, Trading, and RevOps leadership to translate agentic capability into measurable outcomes - pipeline velocity, forecast accuracy, rep ramp time, and sales productivity - and mentor engineers in the pod on AI-first thinking.


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