engineering
Posted May 8GTM Engineer
at Taktile
Hybrid
Responsibilities
- YOU WILL - Architect intelligent alert systems that notify sales teams of high-intent signals, and facilitate optimal engagement. - Build automated revenue systems using AI, data enrichment, and workflow automation across BD, Sales and CS challenges. - Create and maintain scalable GTM data pipelines that pull from enrichment and intent sources into systems like HubSpot, Clay, and Snowflake. - Run experiments end‑to‑end from hypothesis and design to implementation and measurement.
Requirements
- Our software combines AI agents, business rules, and human judgment in a single controlled environment, enabling risk and compliance teams to design, automate, and continuously improve high‑stakes decisions with full visibility.
- ABOUT THE ROLE As a GTM Engineer at Taktile, you sit at the intersection of data, automation, and commercial strategy.
- YOU WILL MAKE OUR DECISION EASY IF YOU HAVE - Have technical fluency, commercial bias, curiosity, and an experimental mindset. - Strong understanding of API integrations, data pipelines, and event flows across a modern B2B SaaS GTM stack and familiarity with tools like HubSpot, Gong, Clay, Snowflake (or strong equivalents), and the ability to reason about how they should fit together. - A deep understanding of B2B sales motions (especially for complex, multi‑stakeholder deals) - Have engineering
- experience working with complex technologies, varied datasets, and building data-driven productivity solutions with AI.
Benefits
- That means we power the moments that matter when money moves: who gets a loan, how to catch fraud, and how to stay compliant in complex, evolving markets.
- OUR OFFER - The opportunity to define and scale GTM engineering at a company that facilitates how leading banks, insurers, and fintechs use AI agents to transform credit, fraud, and compliance workflows - and the chance to shape how we tell that story. - Close collaboration with operators who care deeply about building reliable, safe, and high‑leverage AI systems for the real economy. - Competitive compensation, meaningful equity, and