(Senior) GTM-Engineer
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a (Senior) GTM Engineer based in Canada.
Build and scale a modern go-to-market (GTM) engine that directly drives business growth in a B2B environment. As a (Senior) GTM Engineer, you will connect data, buying signals, automation, and AI to transform commercial processes into scalable, high-performing systems. You will design intelligent workflows that identify potential customers, enrich and score data, personalize outreach, and prioritize leads based on intent and engagement. Working with a modern technology stack, you will build integrations and automate processes across CRM and GTM platforms. Your experiments and technical solutions will have a measurable impact on pipeline generation, conversion rates, and revenue. This fully remote opportunity offers significant ownership, technical autonomy, and the chance to shape the future of a growing GTM operation.
Accountabilities:
You will take ownership of the technical infrastructure behind the go-to-market strategy, developing data-driven systems and automations that improve commercial efficiency and generate measurable business results. Your responsibilities will include:
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Identify relevant buying signals and translate them into automated go-to-market actions and workflows.
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Build automated processes to enrich account and contact data, assess ideal customer profile (ICP) fit, and evaluate purchase intent.
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Develop and scale highly personalized outbound campaigns based on customer data, buying signals, and engagement patterns.
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Implement intelligent lead and account prioritization and routing based on fit, intent, and engagement.
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Build and maintain CRM automations, workflows, and data flows connecting CRM systems with the broader GTM technology stack.
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Develop and scale integrations and automations using Clay, n8n, APIs, and webhooks.
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Design and run experiments to test new approaches, measure performance, and identify opportunities for improvement.
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Systematize successful experiments into repeatable, scalable processes.
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Continuously optimize GTM infrastructure to improve pipeline generation, conversion rates, and revenue outcomes.
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Several years of experience in GTM engineering, growth engineering, revenue operations (RevOps), or a comparable B2B role.
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Demonstrated experience independently building and scaling a comparable go-to-market infrastructure.
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Strong practical experience with Clay, n8n, and modern GTM tools.
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A solid technical understanding of APIs, webhooks, data structures, and CRM systems.
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Hands-on experience with data enrichment, lead scoring, routing, and automated campaign execution.
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The ability to connect data sources, automation workflows, and commercial systems into reliable, scalable processes.
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Strong commercial acumen, with a focus on pipeline growth, conversion, and revenue generation.
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An analytical, experimental mindset and the ability to measure results and systematically improve performance.
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Very good written and spoken German and English.
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A proactive approach, strong ownership, and the ability to take responsibility for critical GTM systems.
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100% remote work: Work from anywhere with flexibility, trust, and autonomy.
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Permanent employment contract offering long-term professional stability.
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Direct business impact: See how your work influences pipeline generation, conversion rates, and revenue.
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Modern GTM technology stack: Work with Clay, n8n, APIs, webhooks, and AI-powered tools.
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Professional development: Expand your technical and commercial expertise while helping shape the organization's GTM capabilities.
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Career growth: Take on increasing responsibility and play a central role in the evolution of the GTM function.
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Ownership and autonomy: Design, implement, and optimize systems that support measurable business growth.
Requirements:
You have hands-on experience building and scaling GTM infrastructure in a B2B environment and understand how technical systems can support commercial growth. You combine strong technical capabilities with a clear understanding of business priorities, focusing on measurable results rather than automation for its own sake. The ideal candidate will bring:
Benefits: