Marketing AI Agent
Marketing AI Agent Builder
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. This is a remote role with the option to work anywhere in NA.
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 stack—including HubSpot/Salesforce, 6sense, and Google Analytics—ensuring seamless data fl ow and automated write-backs to the CRM.
Qualifications & Skills
● Experience: 2–4 years in Growth Engineering, ideally with experience scaling a mid-market SaaS revenue engine.
● AI Tooling: Profi ciency 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 company’s internal knowledge base.
● Marketing Expertise: Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.