Ai agent builder - marketing
Trantor · Hubballi, India
FULL TIMEpermanent
Job Description
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 Hub Spot/ Salesforce, 6sense , and Google Analytics —ensuring seamless data flow and automated write-backs to the CRM.
Qualifications & Skills
● Experience : 5+ years (senior level) in Growth Engineering , ideally with experience scaling a mid-market Saa S revenue engine.
● AI Tooling : Proficiency with agent orchestration frameworks (e.g., Lang Graph, Crew AI) or low-code builder platforms (e.g., Claude Co Work, Code X)
● Agent Orchestration : Experience with low-code/no-code platforms (e.g., Clay , Zapier Central , ) or code-based frameworks (e.g., Lang Graph , Crew AI ).
● 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 B2 B buyer journeys, attribution models, and demand generation tactics.
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 Hub Spot/ Salesforce, 6sense , and Google Analytics —ensuring seamless data flow and automated write-backs to the CRM.
Qualifications & Skills
● Experience : 5+ years (senior level) in Growth Engineering , ideally with experience scaling a mid-market Saa S revenue engine.
● AI Tooling : Proficiency with agent orchestration frameworks (e.g., Lang Graph, Crew AI) or low-code builder platforms (e.g., Claude Co Work, Code X)
● Agent Orchestration : Experience with low-code/no-code platforms (e.g., Clay , Zapier Central , ) or code-based frameworks (e.g., Lang Graph , Crew AI ).
● 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 B2 B buyer journeys, attribution models, and demand generation tactics.
Details
| Company | Trantor |
| Location | Hubballi, India |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |