GTM Engineer

About the role

ButterflyMX is seeking a GTM Engineer to own the automation and AI agent infrastructure of the Sales organization. This role connects directly to selling capacity, market coverage, and pipeline velocity.

Responsibilities

• Build and maintain AI-powered pipeline generation infrastructure — property trigger monitoring from third-party data sources; account and building scoring models; and outreach automation that operationalizes signals into rep-ready pipeline
• Develop and operate a library of role-specific AI agents and prompt templates (i.e. post-call summarization, outreach personalization, next-best-action guidance, and deal coaching), while owning the prompt engineering and agent reliability infrastructure that keeps them running at scale
• Design and build internal tools for reps and operators that give the Sales team self-serve access to intelligence and workflow acceleration
• Analyze Salesforce data, call transcripts, pipeline patterns, and conversion signals to identify where revenue constraints are sharpest and which automation investments will move the most important levers; use those findings to set the automation agenda, measure the impact of what ships, and feed a continuous improvement loop between what gets built and whether it’s working
• Own the rep-facing intelligence layer — the natural language query interface that gives reps and operators self-serve access to pipeline data, and the conversational intelligence pipeline that extracts Gong signal into CRM fields and surfaces actionable insights from call activity
• Govern GTM data integrity across the Sales stack ensuring that Salesforce reflects activity accurately, opportunity stages are enforced before forecast pollution occurs, and account and building ownership conflicts are caught and resolved in real time
• Maintain the integration and data quality relationships that keep the automation layer stable, working with Business Systems on integration reliability and with the Revenue Intelligence Lead to ensure agent inputs are clean, governed, and properly routed when issues surface

Requirements

• Hands-on experience building and deploying AI agents using tools such as Claude, Codex, n8n, Zapier, Replit, or Lovable with agents that are adopted and actively used, not just shipped
• Working knowledge of LLM orchestration, prompt engineering for GTM workflows, and maintaining prompt libraries and agent reliability in a live production environment
• API and integration experience across core GTM platforms
• Ability to build, debug, and own GTM automations using AI coding tools with sufficient engineering judgment to know when generated code is wrong or fragile, without software engineering support
• Strong GTM and sales process fluency: how deals move, what reps do at each stage, and where the highest-friction bottlenecks live
• Background in GTM engineering, revenue operations, business systems, or GTM tooling at a B2B SaaS company with a track record of shipping automation that measurably improves GTM performance

Preferred Experience

• With both direct and channel/partner-led GTM motions, including automation that handles attribution, conflict detection, and routing logic across those sales tracks
• Familiarity with property- or building-level account structures (with multiple stakeholders across owner, developer, property manager, and installer)
• Experience building automation across multiple sales segments or deal types with distinct signals, scoring criteria, and motion logic; for example, new logo and expansion motions for new development and retrofit customer segments
• Exposure to real estate, PropTech, or construction intelligence platforms where property data and trigger monitoring are core to pipeline generation