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Founding Recruiter

Datacurve - San Francisco, CA

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Job Description

We're building a gamified developer platform where tens of thousands of engineers create high-fidelity datasets that push LLM frontiers. Recruiting is mission-critical to scaling this vision. As our Founding Recruiter, you'll build the function from zero: systems, process, and brand. You'll start as a player-coach-sourcing, selling, and closing top talent-then grow into leading a team that scales with us. What You'll Do Build recruiting from scratch: Design and implement the tools, processes, brand, and training to scale hiring. Own full-cycle recruiting: Source, assess, sell, and close candidates across technical (AI/ML/Eng) and ops roles. Be a player-coach: Execute searches hands-on today, while building the roadmap for a future team. Improve speed and quality: Shorten time-to-fill, track funnel metrics, and instill rigor into every stage of hiring. Champion candidate experience: Protect our brand, ensure fast response times, and run a respectful, engaging process. Run great intakes: Partner with hiring managers to deeply understand roles, set priorities, and flex across disciplines. Source creatively: Go beyond LinkedIn (GitHub, niche forums, personal networks) to surface hidden talent. Close strategically: Tailor the pitch to each candidate's motivations, explain equity/comp packages, and win against competition. Teach & train: Help the team interview well, legally, and fairly; build structured processes and rubrics. You'll Succeed Here If You Have Proven full-cycle recruiting experience, especially in technical roles. Startup experience-ideally as a founding or first recruiter, with bias toward small-company breadth over big-company depth. San Francisco market familiarity-strong local networks, norms, and understanding of compensation standards. Demonstrated scrappy sourcing chops-you can show us creative tactics that worked. Strong closer skills-able to handle competitive offers and tailor sell-stories to candidate motivations. Comfort recruiting AI/ML talent; you know where to find them and how to get their attention. Excellent written & verbal communication with low ego and high EQ. Ability to operate in-person with us in SF (especially in the early stage) to embed with the team. A structured mindset: clarity on non-negotiables vs flex areas, and how to prioritize candidate profiles. Characteristics We're Looking For Scrappy, resourceful, and relentless in sourcing. Clear communicator who thrives in ambiguity. Values-driven: cares about mutual fit, not just closing. Excited to build something foundational at an early-stage startup.

Created: 2026-03-10

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