AI agent Builder - Marketing

Role Overview:

As our Marketing AI Agent Builder, you will be the lead architect for our "agentic" marketing stack. Your goal is to move beyond simple automation (if-this-then-that) toward autonomous systems that reason through marketing data, execute multi-channel campaigns, and self-correct based on performance. This is a "Builder" role—part Engineer, part Strategist, part Data Scientist.

Core Responsibilities

%CF;Intelligent Research & Segmentation : Deploy agents to crawl the web for intent signals (hiring changes, funding, news) to dynamically update ICP segments and enrich CRM records in real-time.

%CF;Autonomous Campaign Management : Build agents that independently monitor live campaigns (Search, Social, Email) and autonomously reallocate budgets or pause underperforming creatives based on real-time ROI.

%CF; Dynamic Lead Nurturing : Design agents that use Natural Language Processing (NLP) to "read" prospect behavior and trigger personalized, multi-step nurture sequences without manual intervention.

%CF;Performance & Guardrails : Establish "human-in-the-loop" protocols and evaluation frameworks to ensure agent outputs align with brand voice and security standards.

%CF; System Orchestration : Connect AI agents to our core stack—including HubSpot/ Salesforce , 6sense , and Google Analytics —ensuring seamless data flow and automated write-backs to the CRM.

Qualifications & Skills

%CF;Experience : 5+ years (senior level) in Growth Engineering , ideally with experience scaling a mid-market SaaS revenue engine.

%CF; AI Tooling : Proficiency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code builder platforms (e.g., Claude CoWork, CodeX)

%CF; Agent Orchestration : Experience with low-code/no-code platforms (e.g., Clay , Zapier Central , Make.com ) or code-based frameworks (e.g., LangGraph , CrewAI ).

%CF; Prompt Engineering : Ability to design complex "reasoning loops" that prevent hallucinations and ensure professional, brand-aligned output.

%CF; Data Savvy : Comfortable working with JSON , APIs , and RAG

(Retrieval-Augmented Generation) to feed agents the right context from your company’s internal knowledge base.

%CF; Marketing Expertise : Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.