Marketing AI agent Builder
Posted Today by LiveMindz
Negotiable
Undetermined
Remote
Remote
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. The ideal candidate will have experience in growth engineering, particularly within a mid-market SaaS context.
Key Responsibilities:
- Deploy agents for intelligent research and segmentation to update ICP segments and enrich CRM records in real-time.
- Build autonomous campaign management agents that monitor live campaigns and adjust budgets based on real-time ROI.
- Design dynamic lead nurturing agents using NLP to trigger personalized nurture sequences without manual intervention.
- Establish performance guardrails and evaluation frameworks to align agent outputs with brand voice and security standards.
- Connect AI agents to core systems like HubSpot/Salesforce, ensuring seamless data flow and automated CRM updates.
Key Skills:
- 2-4 years of experience in Growth Engineering, preferably in a mid-market SaaS environment.
- Proficiency with agent orchestration frameworks and low-code builder platforms.
- Experience with low-code/no-code platforms or code-based frameworks.
- Ability to design complex reasoning loops to ensure brand-aligned outputs.
- Comfortable working with JSON, APIs, and Retrieval-Augmented Generation (RAG).
- 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
Detailed Description From Employer:
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/Salesforce, 6sense, and Google Analytics ensuring seamless data
flow and automated write-backs to the CRM.
Qualifications & 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 (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.
Sales AI Agent Builder
Role Overview:
You will architect and manage a fleet of autonomous Sales Agents that perform
end-to-end prospecting, qualification, and meeting scheduling. Unlike traditional Sales
Ops, you won't just build workflows; you will build reasoning systems that research
prospects, handle objections, and manage their own "inboxes" to deliver qualified
meetings to our SEs. This is a remote role with the option to work anywhere in NA.
Key Responsibilities
Autonomous Lead Qualification: Design agents to "vet" inbound leads by
querying external data sources and internal CRM history to determine if they
meet our Ideal Customer Profile (ICP).
Inbox Management & Objection Handling: Deploy agents (using LLMs like
GPT-4o or Claude) that can read incoming emails, categorize intent, and
draft/send context-aware replies to handle common objections.
Live Sales Assistant (RAG): Build a "Sales Knowledge Base" using
Retrieval-Augmented Generation (RAG) so agents can instantly reference case
studies, pricing, and competitor battlecards during autonomous chats.
CRM Data Integrity: Ensure agents "write back" all interactions to
Salesforce/HubSpot, keeping data clean and attribution accurate without rep
intervention.
Qualifications
Experience: 4+ years in Growth or Solutions Engineering in a B2B SaaS
environment.
AI Tooling: Experience with "Agent-as-a-Service" platforms (e.g., 11x, Regie.ai,
Lyzr) or building custom agents via LangChain / LangGraph.
Sales Stack Mastery: Deep expertise in Salesforce/HubSpot, Salesloft/Outreach,
and data providers like ZoomInfo or 6sense.
Analytical Rigor: Ability to A/B test agent prompts and "reasoning loops" to
improve meeting-set rates