GTM Engineer
Every day, global financial institutions run millions of critical decisions on Taktile. 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.
Taktile is the Agentic Decision Platform for banks, insurers, and fintechs. 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. We’re backed by Balderton Capital, Index Ventures, Tiger Global and Y Combinator used by the most sophisticated financial institutions across the globe.
As a GTM Engineer at Taktile, you sit at the intersection of data, automation, and commercial strategy. You’re not a classic engineer, and you’re not a classic seller; you will design and operate the systems that power our revenue engine and own metrics around increasing sales efficiency.
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. Turn winning ideas into robust, repeatable systems.
Like to think in systems before you think in tools, and instinctively zoom out to see how signals, workflows, and people connect across the entire funnel. You are a hybrid: part commercial thinker, part builder.
Get energy from sitting close to the business: you care that your work shows up in the pipeline, meetings, and revenue.
Enjoy working cross‑functionally with Sales, Marketing, RevOps, and Product, translating between technical details and commercial outcomes.
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.
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 benefits tailored to our office locations (e.g., Berlin, London, New York).
A culture that values clear thinking, ownership, and high standards, and that gives you the autonomy to ship systems that move the numbers.