Senior Full Stack Software Engineer-Agentic Applications GTM at The Trade Desk

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Oct, 26

Salary

189200.0

Posted On

21 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, JavaScript, LangGraph, LangChain, RAG Pipelines, LLM Orchestration, REST APIs, GraphQL APIs, Event-driven Architecture, Salesforce Integration, Full-stack Development, Agentic Systems, Technical Leadership, System Architecture, Data Pipelines

Industry

technology;Information and Internet

Description

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. What we do: GTM Engineering builds the internal products and AI systems that make our sellers, traders, and account teams faster and sharper — from sprint and pipeline dashboards to agentic assistants that prep a rep before a call or flag a deal at risk before it slips. We sit at the intersection of engineering, data, and revenue strategy, shipping tools that directly move the needle on revenue growth and sales productivity. What you'll do: 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. Who you are: BS degree in Engineering related discipline and 8+ 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 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Architect and build agentic AI systems to automate GTM workflows such as pipeline hygiene and deal risk scoring. Lead the technical strategy for the pod, establishing engineering standards and integrating core GTM systems like Salesforce and Slack.