GTM Engineer

ButterflyMX

GTM Engineer automating sales processes and AI agent infrastructure at ButterflyMX. Improve sales activities by eliminating manual tasks and enhancing pipeline velocity.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Build and maintain AI-powered pipeline generation infrastructure — property trigger monitoring from sources like ConstructConnect, ALN, and CoStar; 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, such as building and partner maps, call preparation and proposal drafting tools, deal coaching dashboards, and other lightweight applications 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

What you’ll need

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, such as Salesforce, Clay, Gong, DealHub, ZoomInfo, and equivalents
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
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) and the Salesforce data modeling complexity that comes with it
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 (e.g., ConstructConnect, CoStar, ALN) where property data and trigger monitoring are core to pipeline generation

Benefits

Comp & perks

Comprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost) starting day 1
401(k) plan with a match
10 paid holidays, 20 vacation days, 5 sick days, 3 floating holidays
Basic Life and Accidental Death and Dismemberment Insurance (ButterflyMX covers 100% of the cost)
Short and Long Term Disability (ButterflyMX covers 100% of the cost)
Paid Family Leave
Employee Assistance Program
Quarterly self-care stipends
Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance
And more!

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI agentsprompt engineeringAPI integrationGTM automationdata analysispipeline generationdebuggingsalesforce data modelingautomation designrevenue operations

Soft Skills

engineering judgmentproblem-solvingcommunicationcollaborationanalytical thinkingorganizational skillsadaptabilityattention to detailstrategic thinkingleadership