Sales Engineering

Our Mission: ButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. Our products are installed in more than 20,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction.

Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to enter the building.

As a distributed, primarily remote workforce, we’re looking for more intelligent, passionate, collaborative, ai-forward, and down-to-earth individuals to join our growing team. We’re driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious.

Role Overview: ButterflyMX is seeking a GTM Engineer to own the automation and AI agent infrastructure of the Sales organization, building intelligent systems that eliminate manual friction, surface the right accounts and signals at the right time, and give reps and operators more leverage on every motion they run.

This role connects directly to selling capacity, market coverage, and pipeline velocity. The automation layer you build contributes to all three revenue constraints: freeing rep time from admin work, putting intelligence behind prospecting and pipeline management at scale, and accelerating deals already in the funnel. You are someone who thinks like a sales leader, works like a product manager, and builds like an engineer.

You will operate with significant autonomy across the Sales automation domain, manage your own agenda against a stack-ranked set of revenue priorities, and be expected to identify what needs to be built, not just execute against a list.

When this role is working well, reps spend more time selling and less time on admin work, the right accounts are surfaced before reps have to go looking, pipeline data in Salesforce is reliable enough to trust in executive forecasting, and the Sales Ops team is shipping new agent capability on a regular cadence rather than fielding manual requests.

You sequence your work by the size of the bottleneck it removes — degraded pipeline quality, stalled deal execution, rep time lost to admin at scale. You generate clean automations, document your integrations, and build agent workflows that others can operate and extend without you. Every automation is designed to run reliably and be improved over time.

You understand the sales motion, not just the systems. You know how deals move, what rep behavior looks like at each stage, and where friction causes pipeline to stall or data to go missing. That fluency shapes what you prioritize and how you design automation that fits real workflows.

You ship at sprint cadence. You scope tightly, ship fast, measure what changes, and iterate.

When you ship something, you tell reps and sales leaders what it does for them — hours saved, fields auto-populated, conflicts caught before they cost revenue, not how the integration works.

You come back with what you shipped, what’s next, and where you need a decision.

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

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

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 where property data and trigger monitoring are core to pipeline generation

Comprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost) starting day 1

10 paid holidays, 20 vacation days, 5 sick days, 3 floating holidays

Short and Long Term Disability (ButterflyMX covers 100% of the cost)

Employee Assistance Program

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

ButterflyMX is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need reasonable accommodations during the application or the recruiting process, please let our recruiting team know.