HopHR
🚀 The Mission
🧬 What Makes This Different
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
🌙 Why This Opportunity Matters
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
About this role & career path
Working in United States
The United States of America (USA), also known as the United States (U.S.) or America, is a country primarily located in North America. It is a federal republic consisting of 50 states and a federal capital district, Washington, D.C. The 48 contiguous states border Canada to the north and Mexico to the south, with the semi-exclave of Alaska in the northwest and the archipelago of Hawaii in the Pacific Ocean. The United States also asserts sovereignty over five major island territories and various uninhabited islands in Oceania and the Caribbean. It is a megadiverse country, with the world's th
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