AI GTM Engineer

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 at least one LLM API (Anthropic Claude or OpenAI) building real automated workflows, not just demos
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
Coding knowledge in Python or JavaScript — vibe coding with AI assistance is absolutely fine; deep software engineering experience is not required
Familiarity with CRM and marketing automation data models (Salesforce, HubSpot)
Strong communication skills — you translate technical constraints into plain language for non-technical teams daily