דרושים GTM Engineer בתל אביב

Join Agora, a pioneering Fintech SaaS startup headquartered in TLV, as we reshape the Real Estate investment landscape. Our Investment Management platform empowers Real Estate firms and investors by automating back-office operations, enhancing investor satisfaction, and propelling growth.

We’re looking for a GTM Engineer to join our Growth team. This role combines technical problem-solving with business impact, enabling sales, SDR, and marketing to scale through automation, AI workflows, and signal generation

What are we looking for:

As our GTM Engineer, you’ll design, automate, and optimize workflows that support the full go-to-market motion. Your focus will be on:

• Building and maintaining data processes in Clay.
• Generating actionable signals for SDRs and sales.
• Automating manual GTM tasks to improve velocity, consistency, and scale.

This is a mid-level role designed for someone who thrives on problem-solving, tinkering, and creating measurable business impact through smart systems.

Key Responsibilities:

• Clay Workflow Management: Build, maintain, and optimize workflows in Clay that enrich, qualify, and segment accounts and leads.
• Signal Generation: Identify, prioritize, and deliver real-time signals (account activity, intent data, triggers) to SDRs and sales teams for timely outreach.
• Automation & Efficiency: Eliminate manual GTM tasks by engineering automated processes across the funnel.
• Data Quality & Flow: Ensure clean, reliable data flows into GTM systems, enabling consistent reporting and outreach.
• Cross-Functional Support: Collaborate with Growth, SDR, and Sales to identify bottlenecks and implement scalable solutions.
• Innovation: Experiment with new approaches (including AI-driven workflows) to continuously improve conversion, velocity, and pipeline creation.

Requirements:

• 2–4 years’ experience in a Growth Ops, RevOps, or Marketing Ops role in a SaaS environment.
• Hands-on expertise in Clay.
• Strong understanding of B2B SaaS sales funnels (MQL, SQL, Opportunity, etc.).
• Analytical skills: comfortable working with data, signals, and performance metrics.
• Curiosity and problem-solving mindset with a strong bias for execution.
• Strong communication skills, able to explain technical workflows in business terms.