Hello,
SpiceOrb is looking for Marketing AI Agent Builder
Role: Marketing AI Agent Builder
Location: Remote
Duration: 12+ Months Contract
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.
