Marketing AI Agent Builder

Marketing AI Agent Builder

Location: Remote

Duration: 12 months

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

● 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 flow 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: Proficiency 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.