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About the Role
This is a full-cycle recruiting role at a small, high-caliber AI/ML infrastructure company where every hire meaningfully shapes the team's trajectory. You will work directly with founders and world-class researchers to bring in exceptional engineers and go-to-market leaders. The team is intentionally lean and plans to stay that way, so bar-setting and quality matter above all else.
Responsibilities
- Own end-to-end recruiting across both technical (engineering, product) and GTM roles.
- Build and optimize recruiting operations and tooling, automating workflows wherever possible.
- Partner closely with founders and team leads to define role requirements, evaluation criteria, and interview processes.
- Develop a deep understanding of the product in order to pitch technical candidates credibly.
- Source top candidates through high-signal and unconventional channels.
- Screen candidates for technical competence and product or market intuition, including evaluation via portfolios and projects.
- Support new hire onboarding and ramp.
- Help define and run performance review processes, leveling frameworks, and feedback systems.
Requirements
- 3 or more years of full-cycle recruiting experience covering technical (engineering, product) and GTM roles.
- Demonstrated ability to understand and communicate complex technical concepts when engaging with engineering and product candidates.
- Prior experience in an early-stage startup environment, with the ability to work independently at pace.
- Experience building and optimizing recruiting operations, including workflow automation.
- Strong instincts for talent quality and setting a high hiring bar.
- A creative track record of sourcing through non-traditional channels and evaluating non-traditional candidate profiles.
- Familiarity with modern recruiting tools such as Ashby, Juicebox, or Clay.
- Experience using AI or vibe coding to automate recruiting workflows.
- Exposure to or ownership of people operations functions such as onboarding, performance reviews, or leveling.
Location
- On-site in San Francisco, CA
Work Type
- On-site
- Full-cycle
Experience Level
- 3 or more years
Salary/Compensations
- $100,000 to $150,000 USD annually
Benefits
- Visa sponsorship is available.
About the Company
- Small, high-caliber AI/ML infrastructure company.