Must-Haves
• 2–5 years of full-cycle technical recruiting experience (in-house, agency, or RPO) with closes on engineering, data, or product roles
• Solid recruiting fundamentals: sourcing, intake, screening, scheduling, offer support, stakeholder communication — you've done all of it, even if not yet at the most senior level
• Strong candidate communication: you can write compelling outreach, run a clean phone screen, and build rapport with passive candidates
• Coachable + ambitious: you actively seek feedback, iterate fast, and want to grow into Principal
• Genuinely curious about AI: you don't need a technical background, but you're excited to learn how AI can augment recruiting
• Growth mindset: comfortable learning new tools, sitting with ambiguity, and stretching beyond what you've done before
• Fluent English (written + verbal); LATAM-based candidates strongly preferred for US time-zone overlap
Bonus Points
• Prior experience recruiting for ML/AI, Data Science, or platform/infra engineering roles
• Hands-on use of AI tools (ChatGPT, Claude, AI sourcing platforms) in your current workflow
• Background at high-growth tech companies, well-known recruiting agencies, or in-house technical recruiting teams
• You've experimented with automations, Boolean wizardry, or "hacks" to work more efficiently
• Comfortable giving product feedback or working with technical teammates
Cultural Fit
• Execution-oriented: you deliver results, not excuses
• Collaborative learner: ego doesn't get in the way of growing
• Comfortable with ambiguity: Moon Engine is pre-launch — things will change
• Naturally curious: you want to understand how things work, not just use them
• Long-term thinker: you see this as a multi-year journey to become a recruiting + AI expert