Elite AI Agent Engineer: B2B Lead Generation & GTM Automation

PlanITROI LLC

10h•Remote

About The Position

PlanITROI is seeking a proven, hands-on AI Agent builder with expertise in B2B lead generation. The ideal candidate will have personally architected, built, deployed, and operated AI agents that deliver measurable B2B prospecting results. This role involves building the intelligence behind a system of AI agents capable of using tools, making decisions, coordinating workflows, and converting enterprise buying signals into qualified sales meetings. PlanITROI, with 25 years of success in IT lifecycle management and IT Asset Disposition (ITAD), is undergoing an ambitious future powered by AI and Robotics. The company mission is to maximize the financial value of technology while extending its useful life. This position offers the opportunity to work in a fast-paced, founder-led environment with no corporate red tape, directly impacting enterprise revenue and promoting technology reuse.

Requirements

Proven, hands-on AI Agent builder specializing in B2B lead generation.
Must have personally architected, built, deployed, and operated AI agents that generate measurable B2B prospecting results.
Expertise in AI agent engineering: LLMs, tool calling, reasoning workflows, agent memory, state management, multi-agent orchestration, evaluation, and human-in-the-loop controls.
Experience with agent frameworks such as LangGraph, CrewAI, OpenAI Agents SDK, or comparable frameworks.
Proficiency in software development: Python, JavaScript/TypeScript, APIs, webhooks, custom integrations, and automation architecture.
Experience with GTM integrations: Salesforce, Apollo, ZoomInfo, Clay, LinkedIn Sales Navigator, 6sense, Bombora-type intent sources, and AI calling/voicemail platforms.
Deep understanding of enterprise prospecting: Intent signals, ICP scoring, buying-committee identification, contact resolution, enrichment, personalization, objection handling, and multichannel sequence design.
Experience in production operations: Agent monitoring, debugging, data quality, CRM synchronization, deduplication, deliverability, compliance, error handling, and auditability.
Ability to engineer reliable systems for high outbound volumes (reaching 250,000+ contacts) while maintaining accuracy, compliance, and deliverability.
Understanding of both technical engineering and B2B prospecting strategy to turn agents into a functioning revenue system.
Ability to design, build, and demo production AI agents.
Must be able to integrate tools like Salesforce, Apollo, and Clay.
Must be able to demonstrate AI agents personally built and deployed for B2B lead generation and their results.

Nice To Haves

Experience with Gartner's ITAD Market Guide.
Experience as an IAITAM Platinum Sponsor.
Experience in reuse-as-intended-use, prioritizing reuse over recycling.

Responsibilities

Design, build, deploy, and continuously improve an interconnected system of specialized AI agents that identifies enterprise buying opportunities and converts them into qualified meetings.
Own the technical outbound engine end to end, from buying-signal detection and account intelligence to contact discovery, multichannel orchestration, CRM integration, experimentation, and measurement.
Build AI Intent Signal Detection Agents to identify, ingest, evaluate, and score buying signals (e.g., technology refresh cycles, leadership changes, office moves, M&A, RFP activity, contract timing, job postings, technology initiatives, social activity) and trigger the right next action.
Develop AI Buying Committee Intelligence Agents to identify high-value ICP accounts, research enterprise organizations, map buying committees, select the best contacts for each entry point, validate contact information, and continuously track changes.
Create AI Personalization & Challenger Messaging Agents to combine account intelligence, buying signals, persona-specific pain points, account history, and incumbent-provider context for relevant, personalized outreach at scale.
Implement AI Multichannel Orchestration Agents to coordinate email, LinkedIn, voicemail drops, AI calling, and human SDR/BDR follow-up, managing sequencing, timing, channel rules, routing, and next-best actions.
Develop AI Objection Handling & Follow-Up Agents to recognize and respond intelligently to objections, maintain conversational context, determine appropriate follow-up, and escalate to humans when needed.
Build AI Performance & Optimization Agents to measure results across signals, personas, channels, and campaigns, identify winning/losing hypotheses, recommend experiments, and improve qualified meeting conversion.
Design the overall agent architecture, build individual agents, integrate systems, and ensure they work together effectively.
Integrate tools such as Salesforce, Apollo, and Clay.
Engineer reliable systems capable of very high outbound volumes, reaching 250,000+ contacts across email, LinkedIn, and voicemail, while protecting platform limits, accuracy, compliance, and deliverability.
Monitor agent performance, debug issues, ensure data quality, synchronize with CRM, handle deduplication, maintain deliverability, ensure compliance, manage error handling, and maintain auditability.