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. 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 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.