Senior GTM Engineer (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior GTM Engineer (SaaS): Driving sales efficiency and pipeline growth by building and managing signal-based GTM systems with an accent on AI-driven automation, data pipelines, and workflow integration. Focus on designing agentic AI workflows, optimizing lead scoring, and scaling the GTM engine to enhance developer and enterprise sales efforts.
Location: Must be based in Portugal (Remote)
Salary: €33,600 – €59,400 per year
Company
provides a cloud-native, distributed SQL database platform optimized for real-time analytics and enterprise AI applications.
What you will do
- Architect and manage signal-based GTM engines and AI-driven lead qualification workflows.
- Build and maintain automation between CRM, marketing, and sales platforms using APIs and data pipelines.
- Run rapid experiments to identify and prioritize sales opportunities and increase pipeline conversion.
- Develop and manage AI agents to assist sales teams with research and targeted account outreach.
- Collaborate across Growth, Marketing, Sales, and RevOps to drive revenue impact.
Requirements
- Must be based in Portugal
- 5+ years of experience in a technical growth or GTM role.
- Hands-on experience with CRM/GTM tooling like Salesforce and HubSpot.
- Strong proficiency in building automations, API integrations, and data pipelines.
- Basic understanding of databases and SQL.
- Ability to operate independently in a fast-paced, ambiguous startup environment.
Nice to have
- Proficiency in scripting or programming languages such as Python, TypeScript, or JavaScript.
- Experience with lead scoring, routing, and sales funnel optimization.
Culture & Benefits
- Opportunity to define modern signal-based GTM motions at a scale-up company.
- Work on high-impact projects affecting revenue and sales efficiency.
- Environment that prioritizes curiosity, speed, and a bias for action.
- Supportive team focused on measurable revenue outcomes and shared operating models.
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