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3 days ago
Requirements and responsibilities
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.Core ResponsibilitiesIntelligent 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 & SkillsExperience • 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 & Integrations • 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.Required Skills • Growth Engineering • LangGraph • CrewAI • Prompt Engineering • Retrieval-Augmented Generation (RAG) • JSON • REST APIs • HubSpot • Salesforce • Google Analytics • 6sense • Clay • Zapier Central • Make.com • Human-in-the-loop (HITL) Evaluation • B2B Marketing • Demand Generation • CRM