Sales AI Agent Builder

Sales AI Agent Builder

Role 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.