Marketing AI Agent Builder
Summary: The Marketing AI Agent Builder at SpiceOrb is responsible for architecting an advanced marketing stack that transcends basic automation, focusing on creating autonomous systems capable of executing and optimizing multi-channel campaigns. This role combines engineering, strategy, and data science to enhance marketing effectiveness through intelligent agents. The position is remote and is expected to last for over 12 months. Candidates should have a strong background in growth engineering and AI tooling.
Key Responsibilities:
- Deploy agents for intelligent research and segmentation to update ICP segments and enrich CRM records in real-time.
- Build autonomous agents for campaign management that monitor and optimize budgets based on real-time ROI.
- Design agents utilizing NLP for dynamic lead nurturing and personalized engagement.
- Establish protocols to ensure agent outputs align with brand voice and security standards.
- Connect AI agents to core systems like HubSpot/Salesforce and Google Analytics for seamless data flow.
Key Skills:
- 2-4 years of experience in Growth Engineering, preferably in a mid-market SaaS environment.
- Proficiency with agent orchestration frameworks and low-code builder platforms.
- Experience with low-code/no-code platforms or code-based frameworks.
- Ability to design complex reasoning loops to ensure brand-aligned outputs.
- Comfortable working with JSON, APIs, and RAG for contextual data feeding.
- Knowledge of B2B buyer journeys and demand generation tactics.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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.
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