Automation Engineer Jobs

About The Position

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.