GTM Engineer
Indexed description
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.
About The Role
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.
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. 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.
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