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Posted 4 months ago
Requirements and responsibilities
The MissionYou’ll start by doing what you do best: closing elite technical roles and building deep client relationships. But this isn’t a traditional recruiting role. As you deliver hiring outcomes, you’ll also learn how to integrate AI into every part of the recruiting workflow—and help clients do the same as our platform launches.Hop works with Fortune 500 companies and top VC-backed startups, specializing in GenAI, ML, Data Science, Data Engineering, Software Engineering, and Product talent.We are pre-launch on Moon Engine, an agent-orchestrated recruiting ops system where autonomous agents act as decision partners, coordinating hiring with governance and auditability.At Hop, you are a player-coach in the truest sense: hands-on recruiter today, AI-enabled recruiting advisor tomorrow. You will work directly with our engineering and product teams to test Moon Engine, provide critical feedback, and master the future of recruiting—then bring that expertise to Fortune 500 companies and top startups as we onboard them to the platform.Think of it as dual-track growth: deepen your recruiting craft while becoming an expert in AI-orchestrated hiring workflows.What You'll Actually DoPhase 1: High-Level Recruiting Execution (Day 1 Onwards)Lead full-cycle searches for senior technical roles: Staff Engineers, ML Scientists, Data Platform Leaders, Technical Product ManagersBuild and maintain client relationships: Partner directly with CTOs, VPs of Engineering, founders—becoming their trusted hiring advisorManage candidate relationships: Source, engage, interview, close top-tier technical talent with white-glove serviceRun strategic intake sessions: Translate business needs and technical requirements into precise hiring strategiesDeliver results: Own outcomes, timelines, and client satisfaction for complex, high-impact searchesPhase 2: AI Integration & Learning (Progressive Ramp)Test Moon Engine in production: Use the platform daily on your real searches—provide honest feedback on what works and what doesn'tLearn AI-assisted workflows: Gradually adopt AI-powered sourcing, scoring, screening, and matching as features become availablePartner with engineering/product: Participate in feedback sessions, feature demos, and roadmap discussions. Your recruiting insights drive product decisions.Document best practices: As you learn what AI does well and where human judgment is critical, you'll help create the playbook for AI-enabled recruitingBecome the expert: Over 6-12 months, you'll develop deep expertise in how to orchestrate human plus AI recruiting workflowsPhase 3: Client Enablement & Thought Leadership (As Moon Engine Launches)Onboard enterprise clients: Guide new customers through adopting Moon Engine—teaching them what you've learnedLead training sessions: Show clients how to integrate AI into their hiring processes effectivelyStrategic consulting: Advise companies on restructuring their recruiting operations for an AI-first worldRepresent Hop externally: Share insights at events, on podcasts, in content—establishing yourself as a recruiting plus AI expert
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