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Hyperbolic Labs is building an Open-Access AI Cloud that democratizes AI by making better use of idle computing resources globally, offering a GPU marketplace and AI inference service. The company is scaling from ~30 to ~70-100 employees over the next 6-12 months and seeks a hands-on Head of Talent to lead this growth.
In this player-coach role reporting to the founders and leadership team, you will own the complete recruiting function and build a scalable talent engine. Key responsibilities include:
- Own full-cycle recruiting across all departments, personally sourcing, assessing, and closing top talent for critical roles.
- Translate company goals, mission, and culture into clear hiring priorities, candidate profiles, and search strategies.
- Build the talent roadmap to balance hiring priorities across functions and support scaling to 70-100 employees.
- Design an end-to-end talent engine with structured interviews, scorecards, and decision frameworks.
- Serve as a trusted partner to founders and hiring managers on candidate strategy, leveling, and offer construction.
- Stand up tooling, data, and pipeline visibility to run 60+ hires per year without compromising quality.
- Manage the recruiting team, recruiting resources, and hiring partners.
- Build Hyperbolic's employer brand and create an exciting workplace culture.
You are a hands-on recruiter who enjoys sourcing and closing, not only managing. You understand complex technology and can engage credibly with senior technical candidates. You use data and market intelligence to improve hiring decisions, exercise strong judgment, and can challenge leaders constructively. You thrive in fast-moving, ambiguous environments and take ownership from strategy through execution.
REQUIREMENTS:
- 10+ years of recruiting experience, including ownership of a recruiting function in a high-growth company.
- Successfully hired technical talent across infrastructure, distributed systems, AI/ML, cloud, or developer tools.
- Built or meaningfully improved recruiting processes, systems, and metrics.
- Ability to understand complex technology and engage credibly with senior technical candidates.
PREFERRED QUALIFICATIONS:
- Experience at a neocloud, hyperscaler, AI lab, GPU cloud, or infrastructure company.
- Experience as the first or early Talent hire at a venture-backed startup.
- Strong network across AI and infrastructure talent.
