GTM Engineer- AI B2B Lead Generation & Automation

PlanITROI LLC

25d

About The Position

PlanITROI is hiring a hands-on GTM Engineer to build and operate an AI-powered B2B lead generation engine. The role starts with building core AI agents and then shifts primarily to running campaigns with those agents. The objective is to turn enterprise buying signals into qualified sales conversations, meetings, and signed MSAs. The system will research more than 5,000 enterprise accounts and reach more than 250,000 contacts. The position owns the outbound engine end to end, including signal detection, account intelligence, contact discovery, personalization, multichannel orchestration, CRM integration, experimentation, and measurement. It involves designing agent architecture, integrating systems, launching and monitoring sequences, managing reply queues, tuning messaging and targeting, protecting deliverability, and handing warm conversations to sales. The role targets enterprise organizations with 5,000 to 11,000,000+ employees, mostly knowledge workers, complex buying committees, and existing technology providers. The GTM Engineer reports to the Founder & CEO and the Chief Strategy Officer and works closely with the VP of Marketing. PlanITROI provides IT lifecycle management, repair, refurbishment, redeployment, remarketing, reverse logistics, and secure IT Asset Disposition services. Its reuse-first mission is to maximize the financial value of technology while extending its useful life.

Requirements

Personally built and run AI agents or automated outbound systems that produced measurable B2B meetings, with performance data to demonstrate results.
Ability to design, build, and demonstrate production AI agents independently.
Knowledge of LLMs, tool calling, reasoning workflows, memory and state, multi-agent orchestration, evaluation, and human-in-the-loop controls.
Experience with agent frameworks such as LangGraph, CrewAI, OpenAI Agents SDK, n8n, or comparable tools.
Coding experience in Python or JavaScript/TypeScript, including APIs, webhooks, and custom integrations.
Enterprise prospecting expertise, including intent signals, ICP scoring, buying committee mapping, enrichment, personalization, objection handling, and multichannel sequence design.
Hands-on experience with GTM tools such as Salesforce, Apollo, ZoomInfo, Clay, LinkedIn Sales Navigator, 6sense or Bombora, and AI calling or voicemail platforms.
Production operations experience at scale, including monitoring, debugging, CRM synchronization, deduplication, deliverability, compliance, and error handling across large contact campaigns.
Understanding of both agent engineering and B2B prospecting strategy.
Ability to show real performance data, such as meetings, pipeline, or conversion gains, and to explain agent architecture, decision logic, exception handling, and integrations.

Nice To Haves

Background in outbound, SDR/BDR leadership, demand generation, growth, or RevOps before moving into AI and automation.
Experience in IT services, IT Asset Disposition (ITAD), computer hardware, or hardware as a service.
Experience displacing incumbent providers.

Responsibilities

Build, operate, and improve an AI-powered outbound engine that generates qualified enterprise meetings and signed MSAs.
Ingest, evaluate, and score buying signals, including technology refresh cycles, leadership changes, office moves, M&A, RFP activity, contract timing, job postings, and social activity; trigger timely next actions.
Identify high-fit ICP accounts, map buying committees, select the best one to five contacts per entry point, validate contact data, and track changes.
Create personalized challenger messaging using account intelligence, buying signals, persona pain points, account history, and incumbent-provider context.
Orchestrate email, LinkedIn, voicemail drops, AI calling where appropriate, and human SDR follow-up, including sequencing, timing, routing, and next-best actions.
Handle objections and follow up while retaining conversational context, escalating to human representatives when appropriate.
Launch and monitor campaigns, work reply queues, tune messaging and targeting weekly, protect deliverability, and hand warm conversations to sales.
Integrate agents with CRM and GTM systems, and maintain monitoring, debugging, deduplication, deliverability, compliance, error handling, and CRM integrity at scale.
Measure performance by signal, persona, channel, and campaign; run experiments, stop underperforming approaches, and scale effective ones.
Demonstrate personally built and deployed B2B lead-generation agents, complete a build project and live technical session, and present architecture, decision logic, prompts, tools, integrations, exception handling, human handoff, and performance data.