Senior Full-Stack AI & GTM Systems Engineer

Thetradedesk; New York (NY); On-site; USD 124,900 - 228,900; Full time

Benefits offered by this job

Healthcare coverage

401k with company match

Disability insurance

Life insurance

Well-being benefits

Tuition assistance

Parental leave

Paid time off

Public holidays

Employee stock purchase plan

Job summary

The Trade Desk is a global technology leader powering digital advertising across the open internet. We build agentic systems that automate GTM workflows, integrating Salesforce, Outreach, and other tools to drive revenue efficiency and pipeline velocity.

Join a team that blends engineering, data, and revenue strategy to deliver measurable outcomes. Expect collaboration with product, sales, and RevOps, and opportunities to shape architecture and tool usage at scale.

Qualifications

• BS degree in Engineering related discipline.
• 8+ years of software engineering experience.
• 2+ years building production LLM or agentic apps (agents, RAG pipelines).
• Strong Python and TypeScript/JavaScript skills.
• Experience with REST/GraphQL APIs and SaaS GTM platforms.

Responsibilities

• Architect and build agentic systems to automate GTM workflows using LLM orchestration frameworks.
• Define the agentic platform strategy, design patterns, and guardrails for revenue-critical workflows.
• Integrate core GTM systems (Salesforce, Outreach, ZoomInfo, Slack) as agent-accessible tools and data sources.
• Set engineering standards and lead architectural reviews across the GTM Engineering roadmap.

Skills

Python

TypeScript/JavaScript

Technical leadership

Education

BS degree in Engineering or related field

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Salesforce

Outreach

Job description

The Trade Desk is a global technology leader powering digital advertising across the open internet. We build agentic systems that automate GTM workflows, integrating Salesforce, Outreach, and other tools to drive revenue efficiency and pipeline velocity.

Join a team that blends engineering, data, and revenue strategy to deliver measurable outcomes. Expect collaboration with product, sales, and RevOps, and opportunities to shape architecture and tool usage at scale.