Staff Full Stack Engineer-Agentic Applications GTM
$137,300–$251,800 year
On-siteNew York, United States
Job Summary
Architect and build agentic systems that automate GTM workflows using LLM orchestration frameworks, integrating core platforms like Salesforce and Outreach as accessible tools. Define the pod's platform strategy by establishing agent design patterns, evaluation frameworks, and human-in-the-loop guardrails for revenue-critical processes. 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. This role requires a Staff Full Stack Engineer with 12+ years of experience and a BS in Engineering, located in Los Angeles, with a base salary range of $137,300—$251,800 USD.
Required Qualifications
- BS degree in Engineering related discipline
- 12+ years of software engineering experience
- at least 2 years building production LLM or agentic applications
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.