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\" usingRetrieval-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 improvemeeting-set rates.