GTM Engineer

Payabli•Miami, FL

4d•Remote

About The Position

Payabli is a next-generation Payments Infrastructure and Monetization Platform purpose-built for vertical software companies. Through a single, developer-friendly API with low-code embedded payment components, Payabli enables platforms to seamlessly embed, monetize, and operationalize payments—making payments a core part of their platform and business model. By unifying payment acceptance, payment issuance, and advanced payment operations tooling, Payabli empowers software companies to manage and move money through a single infrastructure stack that delivers total control over the payments experience. Built to scale with PCI DSS 4.0 and SOC 2-compliant security, Payabli’s infrastructure delivers enterprise-grade reliability and trust while leveraging AI-driven intelligence to enhance visibility, streamline operations, and drive revenue growth. Backed by leading fintech investors including QED Investors, Fika Ventures, TTV Capital, and Bling Capital, Payabli is setting the standard for embedded payments infrastructure powering the next generation of vertical SaaS. The Role We're seeking a technically-minded operator who can supercharge our sales team's efficiency through automation, data optimization, and intelligent tooling. As our Go-To-Market Engineer, you'll build and maintain the technical infrastructure that powers our sales motion—from prospect identification and enrichment to outreach automation and pipeline analytics. This role sits at the intersection of sales operations, data engineering, and growth automation. You'll work directly with our Head of Sales, department heads across operations, marketing, customer success, and AI to identify bottlenecks, implement solutions, and continuously optimize our go-to-market engine using modern sales enablement tools and custom integrations.

Requirements

4+ years of experience in revenue operations, sales operations, marketing operations, or growth engineering
Strong technical skills including proficiency with APIs, SQL, and scripting languages (Python, JavaScript, or similar)
Hands-on experience with modern sales engagement platforms and CRM systems (Salesforce, HubSpot, Outreach, Apollo, etc.)
Demonstrated ability to build automations, integrations, and workflows that drive measurable business impact
Data analysis skills with ability to translate metrics into actionable insights
Self-starter mentality with a bias toward experimentation and continuous improvement
Excellent project management and stakeholder communication skills

Nice To Haves

Experience implementing AI-powered sales tools and LLM integrations
Background in B2B SaaS, fintech, or payments companies
Familiarity with vertical SaaS business models and multi-vertical go-to-market strategies
Experience with data enrichment tools (ZoomInfo, Clearbit, Clay etc.) and intent data platforms
Knowledge of modern data stack tools (Segment, Fivetran, dbt, etc.)
Understanding of payment processing or embedded finance concepts

Responsibilities

Build and optimize automated workflows for prospect outreach using tools like AmpleMarket, Knode.ai, and other sales engagement platforms
Integrate and configure AI-powered sales tools (including Claude integrations and Amigo AI agent) to enhance team productivity
Create scripts and automations that enrich prospect data, prioritize leads, and personalize outreach at scale
Implement and maintain integrations between our CRM, sales engagement platforms, and other GTM tools
Manage and optimize our sales tech stack to ensure data flows seamlessly between systems
Build dashboards and reporting that provide actionable insights into pipeline health, conversion metrics, and team performance
Maintain data hygiene across our CRM and sales tools, implementing validation rules and cleanup processes
Design and implement lead scoring models, territory assignments, and routing logic
Develop systematic approaches to identify and qualify prospects that match our ideal customer profile across target verticals
Build tools and processes for competitive intelligence gathering and market research
Create data-driven frameworks for account prioritization and territory planning
Analyze closed-won and closed-lost deals to continuously refine targeting criteria
Identify opportunities to eliminate manual work and accelerate the sales cycle through technical solutions
Run experiments on outreach sequences, messaging variations, and channel optimization
Document processes and create training materials for sales team adoption of new tools
Stay current on emerging sales tech and AI tools that could enhance team effectiveness
Build custom reports and analyses to support sales strategy and forecasting
Track and report on key GTM metrics including pipeline velocity, conversion rates, and tool ROI
Provide data-driven recommendations to sales leadership on resource allocation and strategy
Create performance benchmarks and accountability frameworks for the sales team