GTM Engineer
About The Position
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. Joining us will be a great decision if you 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. 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.
Requirements
- 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)
- Engineering experience working with complex technologies, varied datasets, and building data-driven productivity solutions with AI.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Competitive compensation, meaningful equity, and benefits tailored to our office locations (e.g., Berlin, London, New York).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
