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

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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.

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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.

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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.

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Performance & Guardrails:

Establish "human-in-the-loop" protocols and evaluation frameworks to ensure agent outputs align with brand voice and security standards.

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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

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Experience:

2–4 years in Growth Engineering, ideally with experience scaling a mid-market SaaS revenue engine.

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AI Tooling:

Proficiency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code builder platforms (e.g., Claude CoWork, CodeX)

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Agent Orchestration:

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

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Prompt Engineering:

Ability to design complex "reasoning loops" that prevent hallucinations and ensure professional, brand-aligned output.

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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.

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Marketing Expertise

: Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.