GTM Intelligence & AI Automation Engineer

Suppli•Austin, TX

15h

About The Position

Suppli is pursuing a significant opportunity to become the AI-native AR and credit operating layer for the physical economy, targeting manufacturers, distributors, wholesalers, and dealers. This multi-trillion-dollar working capital system currently relies on outdated ERPs, spreadsheets, and overlooked credit teams. Suppli's product demonstrates strong performance with high ACV, fast sales cycles, high close rates, minimal churn, and significant Net Dollar Retention, processing over $6B in open AR and providing a compounding data advantage. The company delivers proven outcomes, including average DSO reduction of 15% and past-due AR reduction of 16%. Macroeconomic trends indicate strong CFO interest in AI, with AR automation being a top investment priority. The current bottleneck is the sales team's efficiency, as full-cycle AEs handle prospecting, research, list-building, enrichment, sequence writing, enrollment, discovery, and closing. This role aims to leverage AI, automation, and advanced systems to provide each AE with the equivalent leverage of a 5–10 person team, maximizing their selling time. This position is considered the highest-leverage hire to capitalize on the product's success, market readiness, and buyer demand to achieve a multi-billion-dollar outcome. The core mission is to build and operate AI-powered systems that ensure every Suppli representative spends nearly 100% of their time engaging with the right prospects at the optimal moment, with all system builds, tool evaluations, and workflow automations measured against the north star of rep selling time against right-fit accounts.

Requirements

Experience with HubSpot (workflows, reporting, data model).
Experience with ZoomInfo, Titan X for prospecting data.
Proficiency in Python or JavaScript for scripts, APIs, and custom pipelines.
Experience with LLM integration: calling APIs, writing evals, selecting models by task.
Advanced prompt engineering beyond basic usage and orchestration layer (e.g., Claude, n8n).
Tracks model releases as they happen, not after.
Possesses a real framework for model selection by task.
Has built custom AI pipelines, not just configured SaaS.
Can articulate tradeoffs between frontier models today.
Has a portfolio of personal AI projects that weren't assigned.
Has built something from scratch with AI and can explain every decision made.
Tracks model releases the way some people track sports scores.
Treats off-the-shelf tools as a floor, not a ceiling.
Gets viscerally frustrated by manual work a well-prompted model could handle.
Measures self by what was shipped, not what was worked on.
Prefers creating structure to waiting for it.
Wants to be a builder on a rocket ship, not a manager on a ladder.

Nice To Haves

Traditional software engineering background
Enterprise SaaS experience
AR, credit, or finance industry knowledge
Formal CS or engineering degree

Responsibilities

Build and operate the AI-powered systems that ensure every Suppli rep spends ~100% of their time talking to the right prospects, at the right time.
Build and continuously refine a dynamic, AI-enriched ICP model from closed-won and closed-lost data.
Source and operationalize buying signals (e.g., PE ownership changes, new CFO/second-generation family leadership, ERP upgrades, M&A activity, AR/finance hiring surges, existing tech stack, growth inflection points).
Automate scoring to surface the highest-priority accounts to reps every morning.
Auto-populate every prospect record with necessary information (financials, ERP stack, org chart, key contacts, PE ownership, recent news, credit team size).
Automate contact identification, sequence selection, and enrollment across ZoomInfo, HubSpot, Nooks, and TitanX.
Own the CRM (HubSpot) as a system, including hygiene, workflows, reporting, and integrations.
Provide instant cold call, intro call, and demo meeting scoring and coaching points.
Enable reps to create personalized product and feature content for prospects on the fly.
Expand into customer success, finance, and broader operations after 12 months.
Embed with sales, shadow every rep, and map manual steps in current prospecting, enrichment, and enrollment workflows (Days 1–14).
Audit the existing tech stack: HubSpot, ZoomInfo, Nooks, TitanX (Days 1–14).
Deliver a written prioritization memo to the CEO identifying the three highest-leverage fixes (Days 1–14).
Ship the first automation against the highest-friction item (Days 15–45).
Start building the ICP scoring model from closed-won and closed-lost data (Days 15–45).
Ensure the enrichment pipeline is live and every new prospect is auto-enriched without rep input (Days 46–90).
Ensure signal detection is running (Days 46–90).