Senior Full Stack Software Engineer-Agentic Applications GTM
$103,200–$189,200 year
On-siteNew York, United States
Job Summary
Architect and build agentic systems that automate and augment GTM workflows, including pipeline hygiene, account research, call prep, deal risk scoring, and rep coaching using LLM orchestration frameworks. Integrate core GTM systems like Salesforce, Outreach, and ZoomInfo as agent-accessible tools via internal data platforms and MCP-style interfaces. Define the pod's agentic platform strategy, establishing design patterns, evaluation frameworks, and human-in-the-loop guardrails for revenue-critical workflows. Set the technical bar by reviewing designs, leading architectural reviews, and mentoring engineers on AI-first thinking while partnering with Product and Sales leadership to translate capabilities into measurable outcomes.
Required Qualifications
- BS degree in Engineering related discipline
- 8+ 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
- Deep fluency in TypeScript/JavaScript
- 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
Desired Qualifications
- 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
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