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PlanITROI

IT lifecycle management with asset recovery.

GTM Engineer: AI B2B Lead Generation & Automation

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Must personally have built and run AI agents or automated outbound systems that produced measurable business-to-business meetings, with performance data to prove the results.
  • Must be able to design, build, and demonstrate production AI agents hands-on.
  • Must understand both agent engineering and business-to-business prospecting strategy.
  • Must have experience with large language models, tool calling, reasoning workflows, memory and state, multi-agent orchestration, evaluation, and human-in-the-loop controls, using LangGraph, CrewAI, OpenAI Agents SDK, n8n, or comparable frameworks.
  • Must have coding and integration skills in Python or JavaScript/TypeScript, including APIs, webhooks, and custom integrations.
  • Must understand enterprise prospecting, including intent signals, ideal customer profile scoring, buying committee mapping, enrichment, personalization, objection handling, and multichannel sequence design.
  • Must have hands-on experience with go-to-market tools such as Salesforce, Apollo, ZoomInfo, Clay, LinkedIn Sales Navigator, 6sense or Bombora, and AI calling or voicemail platforms.
  • Must have production operations experience at scale, including monitoring, debugging, customer relationship management synchronization, deduplication, deliverability, compliance, and error handling for systems reaching more than 250,000 contacts across email, LinkedIn, and voicemail without damaging domains or accounts.

Responsibilities

  • Build and run the AI-powered outbound engine to identify enterprise buying opportunities and convert them into qualified meetings and signed master service agreements.
  • Build core AI agents, then launch and monitor campaigns, manage reply queues, tune messaging and targeting weekly, protect deliverability, and hand warm conversations to sales at the appropriate time.
  • Design, build, and integrate systems for signal detection, account intelligence, contact discovery, personalization, multichannel orchestration, customer relationship management integration, experimentation, and measurement.
  • Ingest, evaluate, and score buying signals such as technology refresh cycles, leadership changes, office moves, mergers and acquisitions, request-for-proposal activity, contract timing, job postings, and social activity, and trigger timely next actions.
  • Identify high-fit ideal customer profile accounts, map buying committees, select the best one to five contacts per entry point, validate contact data, and track changes.
  • Combine account intelligence, signals, persona pain points, account history, and incumbent-provider context into relevant outreach at scale.
  • Run email, LinkedIn, voicemail drops, artificial-intelligence calling where appropriate, and human sales development representative follow-up as one system, including sequencing, timing, routing, and next-best actions.
  • Respond to objections while maintaining conversational context and escalate to human staff at the appropriate time.
  • Measure results by signal, persona, channel, and campaign; identify effective approaches, stop ineffective ones, and run experiments.
  • Work with the Founder and Chief Executive Officer, the Chief Strategy Officer, and the Vice President of Marketing.
  • Demonstrate personally built and deployed AI agents for business-to-business lead generation and present their results.
  • Build an outbound agent from a campaign premise, demonstrate it in a live technical session, work a live account, and explain its architecture.
  • Show the architecture, decision logic, prompts, tools, integrations, exception handling, incomplete-data handling, failure handling, human handoff, and performance data such as meetings, pipeline, or conversion gains.

Desired Qualifications

  • A background in outbound, sales development representative or business development representative leadership, demand generation, growth, or revenue operations before moving into AI and automation.
  • Experience in information technology services, information technology asset disposition, computer hardware, or hardware as a service.
  • Experience displacing incumbent providers.

About the Company

PlanITROI

IT lifecycle management with asset recovery.

PlanITROI delivers secure, end-to-end IT lifecycle management and IT asset disposition (ITAD) with reverse logistics to recover value from hardware while guaranteeing 100% data destruction and real-time reporting. It refurbishes or resells usable devices and responsibly disposes of the rest, all within a transparent network that provides dashboards on asset value, environmental impact, and compliance. The company differentiates itself through full data security, end-to-end lifecycle coverage, and a circular-economy approach supported by partnerships with corporations, educational institutions, device OEMs, and nonprofits. Its goal is to help organizations meet ESG and CSR goals while maximizing asset recovery and increasing access to affordable technology for underserved communities.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Denville, NJ
Founded
1991

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