Why This Job is Featured on The SaaS Jobs
This listing stands out in the SaaS ecosystem because it formalises a new kind of go to market builder: an engineer embedded in marketing operations to create AI agent infrastructure, not one off automations. In a B2B platform context with complex workflows, this role sits close to the systems that turn product positioning into pipeline, and treats LLM tooling as part of the operational stack alongside CRM and marketing automation.
From a SaaS career perspective, the work builds durable experience in how modern revenue teams are instrumented and governed. Designing triggers, integrations, QA, monitoring, and guardrails maps closely to the reliability and analytics mindset SaaS companies apply to product, but applied to growth systems. The result is transferable capability across SaaS organisations adopting AI, particularly where repeatability, compliance, and measurement matter as much as speed of output.
The role is best suited to someone who enjoys cross functional problem solving and turning ambiguous needs into structured workflows. It will fit a practitioner comfortable owning end to end architecture, partnering with security and data stakeholders, and enabling non technical teammates through training and clear interfaces. It also suits someone motivated by building internal platforms that scale across multiple GTM functions.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job 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 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
