The Trade Desk is seeking a senior software engineer with 12+ years experience, including 2+ years building production LLM or agentic applications. The role involves architecting and building agentic systems to automate GTM workflows using LLM orchestration frameworks like LangGraph. Responsibilities include defining platform strategy, integrating GTM systems (Salesforce, Outreach, ZoomInfo, Slack), setting technical standards, and partnering with leadership to drive measurable sales outcomes. Required skills include deep Python and TypeScript/JavaScript fluency, experience with agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel), enterprise integration patterns (REST/GraphQL APIs), and full-stack application development. Nice to have experience includes Sales/RevOps tooling, ad tech, and evaluating LLM agents for safety and reliability. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, sick and vacation time, paid holidays, stock purchase plan, and variable incentives. The base salary range is $137,300 to $251,800 USD. Location: New York, NY.
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Architect and build agentic systems automating and augmenting GTM workflows such as pipeline hygiene, account research, call prep, deal risk scoring, forecasting, and rep coaching using LLM orchestration frameworks
Define agentic platform strategy including agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails
Integrate core GTM systems (Salesforce, Outreach, ZoomInfo, Slack, internal platform data) as agent-accessible tools and data sources
Set technical bar for the pod by reviewing designs, establishing engineering standards, and leading architectural reviews
Partner with Product, Sales, Trading, and RevOps leadership to translate agentic capability into measurable outcomes like pipeline velocity, forecast accuracy, rep ramp time, and sales productivity
Mentor engineers on AI-first thinking
Requirements
BS degree in Engineering related discipline
12+ years of software engineering experience
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
Hands-on experience in agentic frameworks such as LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar
Comprehensive healthcare (medical, dental, vision) with premiums paid in full for employees and dependentsRetirement benefits including 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time up to 120 hours in first year and 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseVariable compensation-based incentives and commissions depending on role
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