AI GTM Engineer

Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll and payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.

We are seeking an AI GTM Engineer to join our Marketing team in Israel. In this foundational role, you will design, build, and govern the AI agent infrastructure that powers Papaya’s marketing engine — giving every team member AI-powered leverage across Growth, Demand Gen, Content, SDRs, and more. You will sit at the intersection of engineering, marketing operations, and AI product thinking, reporting directly to the Marketing Ops Lead.

Responsibilities

Design and build the full AI agent stack for the marketing org — personal agents per team member, shared service agents, and orchestration agents that connect them Own the technical architecture end-to-end: trigger design, LLM selection, data integrations, output formatting, and approval routing to the right person at the right time Build and maintain the prompt library, golden datasets, and QA framework — running structured testing before every agent goes live Define and enforce guardrails across all agents: brand voice compliance, hallucination prevention, budget limits, and escalation triggers Own the monitoring and observability layer — tracking every agent run for latency, cost, quality score, and error rate Design and maintain the data flow architecture connecting marketing systems, AI APIs, and delivery channels Train the full marketing team to work with their AI agents and act as the internal expert on AI tools and workflows Collaborate with Papaya’s AI team and Security team on architecture standards, data security, and access controls Continuously learn and apply emerging trends in AI agent design and LLM tooling, bringing new capabilities to the team proactively

Requirements

Solid understanding of B2B SaaS marketing — demand gen, ABX, SDR outreach, and content workflows Hands-on experience with multiple LLM APIs (such as Anthropic Claude and OpenAI), building and deploying AI agents and multi-step automated workflows for real business use cases. Proven experience with workflow automation tools such as n8n, Zapier, or Make — building multi-step workflows connected to real business systems Solid understanding of REST APIs and webhooks — you have built and debugged multi-system integrations Experience designing and evaluating prompts to hit measurable quality targets Hands-on experience with Python or JavaScript, with the ability to build and troubleshoot automations, integrations, and AI-powered workflows.

Familiarity with CRM and marketing automation data models (Salesforce, Hub. Spot) Strong communication skills — you translate technical constraints into plain language for non-technical teams daily

Nice to have