Quick overview
Job description
What You'll Actually Do
- Phase 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 Managers
- Build and maintain client relationships: Partner directly with CTOs, VPs of Engineering, founders—becoming their trusted hiring advisor
- Manage candidate relationships: Source, engage, interview, close top-tier technical talent with white-glove service
- Run strategic intake sessions: Translate business needs and technical requirements into precise hiring strategies
- Deliver results: Own outcomes, timelines, and client satisfaction for complex, high-impact searches
- Phase 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't
- Learn AI-assisted workflows: Gradually adopt AI-powered sourcing, scoring, screening, and matching as features become available
- Partner 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 recruiting
- Become the expert: Over 6-12 months, you'll develop deep expertise in how to orchestrate human + AI recruiting workflows
- Phase 3: Client Enablement & Thought Leadership (As Moon Engine Launches)
- Onboard enterprise clients: Guide new customers through adopting Moon Engine—teaching them what you've learned
- Lead training sessions: Show clients how to integrate AI into their hiring processes effectively
- Strategic consulting: Advise companies on restructuring their recruiting operations for an AI-first world
- Represent Hop externally: Share insights at events, on podcasts, in content—establishing yourself as a recruiting + AI expert
🎯 Who Thrives Here
- Must-Haves
- 5+ years recruiting technical talent with a track record of closing senior/leadership roles (ML Engineers, Staff+ Engineers, Data Platform leads, etc.)
- Exceptional client relationship skills: You can advise executives, push back when needed, and build long-term trusted partnerships
- Candidate relationship mastery: You know how to attract, engage, and close passive candidates at the highest levels
- Recruiting fundamentals are second nature: Sourcing, intake, interviewing, offer negotiation, stakeholder management—you've done it all at a high level
- Genuinely curious about AI: You don't need to be technical, but you're excited to learn how AI can augment your recruiting work
- Growth mindset: You're willing to learn new tools, experiment with new workflows, and occasionally feel uncomfortable as you master something new
- Bonus Points
- Prior experience with AI tools (ChatGPT, Claude, AI sourcing platforms) in your recruiting work
- Background at high-growth tech companies, recruiting agencies, or technical recruiting teams
- You've already experimented with automation, built recruiting processes, or created "hacks" to work more efficiently
- Comfortable giving product feedback or working closely with technical teams
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