Datacurve · 3 months ago
Founding Recruiter
Datacurve is building a gamified developer platform aimed at creating high-fidelity datasets to advance LLM frontiers. They are seeking a Founding Recruiter to establish the recruiting function from the ground up, focusing on sourcing, assessing, and closing top talent while building a team to scale with the company.
Artificial Intelligence (AI)Information TechnologyInternetSoftware Engineering
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Datacurve
Datacurve specializes in high-volume data production and aims to redefine AI capabilities through premium training data for coding tasks
Funding
Current Stage
Early StageTotal Funding
$18.2MKey Investors
ChemistryBalaji SrinivasanY Combinator
2025-10-09Series A· $15M
2025-04-01Seed· $2.7M
2024-03-01Pre Seed· $0.5M
Recent News
2025-11-10
Company data provided by crunchbase