GTM Engineer (Fintech)

TL;DR

GTM Engineer (Fintech): Building and operating a data-driven prospecting engine to drive supply growth for a marketplace with an accent on AI-assisted outreach and automated lead generation. Focus on designing automated scraping scripts, optimizing conversion rates from lead to meeting, and integrating advanced data enrichment tools.

Location: Colombia (implied by market focus)

Company

hirify.global is a leading financial platform and BNPL provider in Colombia, building a comprehensive ecosystem for payments, shopping, and banking.

What you will do

• Build automated scraping and gap-analysis scripts to trigger precision lead generation for the Hunter team.
• Implement multi-channel AI-assisted outreach sequences via WhatsApp Business API, LinkedIn, and Phone.
• Maintain Salesforce data quality through weekly automated enrichment and de-duplication audits using tools like Clay or Apollo.
• Automate handoff workflows and CRM alerts to reduce lead-to-contact time to under 24 hours.
• Analyze top-of-funnel health in Salesforce or Looker and present growth narratives to leadership.
• Design and document the end-to-end prospecting process as a "Machine Builder".

Requirements

• 1–3 years of experience in RevOps, Sales Ops, or Growth Engineering.
• Proficiency in SQL and data manipulation using Python, Excel, or Google Sheets.
• Expertise in configuring automation tools such as Clay, Apollo, PhantomBuster, and Zapier.
• Proven experience managing commercial pipelines and building dashboards in Salesforce or Looker.
• Ability to transform raw market data into actionable hunting lists.

Culture & Benefits

• Opportunity to work on high-impact financial inclusion problems in Colombia.
• Ownership culture with meaningful equity in a fast-scaling fintech.
• Competitive salary and comprehensive benefits.
• Collaboration with a world-class international team in a high-excellence environment.

Hiring process

• People Interview: Introduction to culture and role.
• Initial Interview: Evaluation of analytical capabilities and automation experience.
• Deep Dive Interview: Technical and strategic validation with the Product Director.
• Case Study: Practical challenge based on real-world prospecting problems.
• Co-Founder Interview: Final alignment on expectations and cultural fit.