Job Description
About Payabli
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.
What You'll Do
Sales Enablement & Automation
- 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
Revenue Operations
- 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 automated cleaning processes
- Establish KPI frameworks that align sales operations with company growth objectives
Strategic Growth Initiatives
- Partner with marketing and sales to identify high-impact opportunities for process improvement and revenue acceleration
- Design and deploy A/B testing frameworks to optimize conversion funnels and outreach strategies
- Document processes and create runbooks that enable the sales team to operate independently and scale efficiently
- Stay current with emerging sales technology trends and recommend tools that drive competitive advantage
What We're Looking For
- Proven experience building sales operations infrastructure or managing complex GTM tech stacks
- Strong technical foundation in APIs, data integration, and automation (no-code and low-code platforms preferred)
- Experience with CRM platforms (Salesforce, HubSpot, Pipedrive) and sales engagement tools
- Comfort working with AI-powered tools and integrations in a fast-moving environment
- Excellent problem-solving skills with an ability to balance quick wins against long-term optimization
- Strong communication skills and ability to translate technical solutions into business impact
- Self-starter mentality with the ability to operate independently and drive projects to completion
💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience and location.