Marketing AI Agent Builder

Experience: 2–4 years in Growth Engineering or a related field, with experience supporting or scaling mid-market SaaS revenue operations.
AI & Agent Tooling: Hands-on experience with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code platforms (e.g., Claude CoWork, CodeX).
Automation Platforms: Familiarity with low-code/no-code tools such as Clay, Zapier Central, or Make.com, or equivalent code-based frameworks.
Prompt Engineering: Ability to design structured reasoning workflows that minimize hallucinations and ensure accurate, brand-aligned outputs.
Data & Integration Skills: Proficiency working with APIs, JSON, and Retrieval-Augmented Generation (RAG) frameworks to provide contextual grounding for AI systems.
Marketing Knowledge: Strong understanding of B2B buyer journeys, attribution models, and demand generation strategies.

1. Intelligent Research & Segmentation: Design and deploy AI agents to analyze web-based intent signals (such as hiring trends, funding activity, and news) to dynamically refine ICP segments and enrich CRM data in real time.
2. Autonomous Campaign Management: Develop agents that monitor live campaigns across search, social, and email channels, and automatically adjust budgets or pause underperforming assets based on real-time ROI.
3. Dynamic Lead Nurturing: Build NLP-driven agents that interpret prospect behavior and trigger personalized, multi-step nurture journeys without manual intervention.
4. Performance Governance & Guardrails: Establish human-in-the-loop frameworks and evaluation mechanisms to ensure outputs align with brand standards, compliance requirements, and data security protocols.
5. System Orchestration: Integrate AI agents with core platforms such as HubSpot, Salesforce, 6sense, and Google Analytics, ensuring seamless data flow and automated CRM updates.