Job Title : Marketing & Sales AI Agent Builder

Exp : 6+ Years

Remote

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/Salesforce, 6sense, and Google Analytics-ensuring seamless data - ow and automated write-backs to the CRM.

Required Skillset :

- Experience : 5+ years (senior level) 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.