Sales AI Agent BuilderRole 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.