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" rolepart Engineer, part Strategist, part Data Scientist. Core Responsibilities 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. 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. 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. Performance & Guardrails : Establish "human-in-the-loop" protocols and evaluation frameworks to ensure agent outputs align with brand voice and security standards. System Orchestration : Connect AI agents to our core stackincluding HubSpot/ Salesforce, 6sense , and Google Analytics ensuring seamless data ow and automated write-backs to the CRM. Qualications & Skills Experience : 5+ years (senior level) in Growth Engineering , ideally with experience scaling a mid-market SaaS revenue engine. AI Tooling : Prociency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code builder platforms (e.g., Claude CoWork, CodeX) Agent Orchestration : Experience with low-code/no-code platforms (e.g., Clay , Zapier Central , Make.com ) or code-based frameworks (e.g., LangGraph , CrewAI ). Prompt Engineering : Ability to design complex "reasoning loops" that prevent hallucinations and ensure professional, brand-aligned output. Data Savvy : Comfortable working with JSON , APIs , and RAG (Retrieval-Augmented Generation) to feed agents the right context from your companys internal knowledge base. Marketing Expertise : Knowledge of B2B buyer journeys, attribution models, and demand generation tactics. 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" rolepart Engineer, part Strategist, part Data Scientist. Core Responsibilities 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. 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. 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. Performance & Guardrails : Establish "human-in-the-loop" protocols and evaluation frameworks to ensure agent outputs align with brand voice and security standards. System Orchestration : Connect AI agents to our core stackincluding HubSpot/ Salesforce, 6sense , and Google Analytics ensuring seamless data ow and automated write-backs to the CRM. Qualications & Skills Experience : 5+ years (senior level) in Growth Engineering , ideally with experience scaling a mid-market SaaS revenue engine. AI Tooling : Prociency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code builder platforms (e.g., Claude CoWork, CodeX) Agent Orchestration : Experience with low-code/no-code platforms (e.g., Clay , Zapier Central , Make.com ) or code-based frameworks (e.g., LangGraph , CrewAI ). Prompt Engineering : Ability to design complex "reasoning loops" that prevent hallucinations and ensure professional, brand-aligned output. Data Savvy : Comfortable working with JSON , APIs , and RAG (Retrieval-Augmented Generation) to feed agents the right context from your companys internal knowledge base. Marketing Expertise : Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.