Lead / Principal Recruiter
任务你将从最擅长的工作开始：关闭精英技术角色和建立深入客户关系。但这不是传统的招聘作用。当你提供招聘结果时，你还会学习如何将人工智能集成到招聘工作流程的每个部分中并帮助客户在我们的平台推出时做同样的事情。霍普与财富500强公司以及专业于 GenAI,ML,数据科学，工程，软件工程和产品人才的顶级 VC 支持的初创企业合作。我们预先启动了 Moon Engine,一个由代理组织组成的招聘系统，其中自主代理作为决策伙伴，协调招聘与治理和审计能力。在 Hop,你是真正的球员教练：今天实践招聘人员，明天人工智能启用的人才招聘顾问。你将直接与我们的工程和产品团队合作测试月球引擎，提供批判性反，并掌握招聘未来然后把这些专业知识带给财富500强公司和顶级初创企业当我们加入他们平台时。想象它作为双轨增长：深化你的招聘技巧，同时成为人工智能主导的招聘工作流程的专家。什么让这么不同？你不是在招聘或人工智能之间选择。你掌握了两者。手上招聘卓越：你将进行复杂的搜索，寻找高级技术人才建立关系，管理客户，关闭候选人。这是真实的高风险招聘工作。深入学习人工智能集成：当你招募时，你会逐步学会利用月球引擎的能力从人工智能辅助采购到自动查。你将流利地掌握人工智能如何增强 （而不是取代）招聘判断。产品开发合作伙伴：与我们的工程和产品团队直接合作。你的现实世界招聘经验成为产品需求。你的反塑造了什么构建。客户上 boarding 专家：随着月球引擎的推出，你将帮助企业客户转向人工智能启用的人工技术招聘。你将教他们你所学到的东西使你成为 Hop 和我们的客户不可或缺的。你实际上会做什么 ·阶段1:高层招聘执行 （第一天）·领导全周期搜索高级技术职位：员工+工程师，ML 科学家，数据平台负责人，技术产品管理人员 ·建立和维护客户关系：直接与 CTO 合作伙伴，工程副总监，创始人成为他们的可信的招聘顾问 ·管理候选人的关系 sh
查看英文原文
🚀 The Mission
You’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're 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're a player-coach in the truest sense: hands-on recruiter today, AI-enabled recruiting advisor tomorrow. You'll 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 Makes This Different
You're not choosing between recruiting or AI. You're mastering both.
Hands-on recruiting excellence: You'll lead complex searches for senior technical talent—building relationships, managing clients, closing candidates. This is real, high-stakes recruiting work.
Learn AI integration deeply: As you recruit, you'll progressively learn to leverage Moon Engine's capabilities—from AI-assisted sourcing to automated screening. You'll become fluent in how AI amplifies (not replaces) recruiter judgment.
Product development partner: Work directly with our engineering and product teams. Your real-world recruiting experiences become product requirements. Your feedback shapes what gets built.
Customer onboarding expert: As Moon Engine launches, you'll help enterprise clients transition to AI-enabled hiring. You'll teach them what you've learned—making you indispensable to both Hop and our clients.
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
Cultural Fit
Execution-oriented: You deliver results, not excuses
Collaborative learner: You'll work closely with engineers and product people—ego can't get in the way
Comfortable with ambiguity: Moon Engine is pre-launch. Things will change. You adapt.
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, not just a job
🌙 Why This Opportunity Matters
Most recruiters will eventually have to learn AI. You'll be years ahead.
You're not choosing between being a great recruiter or learning AI—you're mastering both while helping build the platform. Think of it like learning digital marketing in 2005. Early movers win.
📈 What You Gain
Very competitive and unique compensation structure (base + commission + bonus, with long-term upside as Moon Engine scales)
Deep AI recruiting expertise in 6-12 months
Product influence—your feedback shapes what gets built
Client enablement role as Moon Engine launches
Unlimited PTO + thought leadership opportunities
Originally posted on Himalayas