Marketing AI agent Builder
Summary: The Marketing AI Agent Builder will lead the development of autonomous marketing systems that analyze data, execute multi-channel campaigns, and optimize performance. This role combines engineering, strategy, and data science to create intelligent agents for marketing automation. The position is fully remote, allowing work from anywhere in North America.
Key Responsibilities:
- Intelligent Research & Segmentation: Deploy agents to crawl the web for intent signals to dynamically update ICP segments and enrich CRM records in real-time.
- Autonomous Campaign Management: Build agents that monitor live campaigns 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 trigger personalized, multi-step nurture sequences without manual intervention.
- Performance & Guardrails: Establish protocols and evaluation frameworks to ensure agent outputs align with brand voice and security standards.
- System Orchestration: Connect AI agents to core stack including HubSpot, 6sense, and Google Analytics ensuring seamless data flow and automated write-backs to the CRM.
Key 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 or low-code builder platforms.
- Agent Orchestration: Experience with low-code/no-code platforms or code-based frameworks.
- 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 Retrieval-Augmented Generation (RAG) to feed agents the right context from the company’s internal knowledge base.
- Marketing Expertise: Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Marketing AI agent Builder
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/, 6sense, and Google Analytics ensuring seamless data ow and automated write-backs to the CRM.
Qualications & Skills
- Experience: 2 4 years in Growth Engineering, ideally with experience scaling a mid-market SaaS revenue engine.
- AI Tooling: Prociency 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.
Similar Jobs
Apologies, there are currently no similar jobs available.