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DatologyAI

Automated data curation for GenAI training

Senior Talent Partner - GTM & Business

Generalist Recruiting +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 6 years of recruiting experience, including deep experience in sales and go-to-market hiring at a startup or high-growth technology company.
  • A proven track record of hiring enterprise Account Executives, Solutions Engineers, forward-deployed engineers, sales leaders, and other related roles.
  • Experience hiring across business functions such as marketing, operations, finance, or partnerships.
  • Fluency in sales compensation, including on-target earnings, quota, ramp, and accelerators.

Responsibilities

  • Own full-cycle hiring across go-to-market and business roles, including Account Executives, Solutions Engineers, Customer Success, Marketing, Partnerships, Business Operations, Finance, and general and administrative roles.
  • Proactively source high-performing candidates, especially sellers who close technical enterprise deals in artificial intelligence and infrastructure.
  • Partner with functional leaders to define success profiles, calibrate hiring standards, and design interview loops that predict success.
  • Assess actual performance: evaluate sellers on attainment, deal size, and selling approach; and evaluate business candidates on scope, outcomes, and judgment.
  • Lead offer strategy and close candidates, including on-target earnings, commission structure, equity, and competing offers.
  • Deliver a high-touch candidate experience.
  • Track pipeline health using data and keep leaders informed.
  • Build scalable hiring processes and playbooks as the business grows.

About the Company

DatologyAI

Automated data curation for GenAI training

DatologyAI provides automated data curation tools that optimize GenAI model training by automatically selecting high-quality, relevant data and removing noise, redundancy, or harmful data. The tools integrate into existing cloud or on-premises training pipelines with usage-based pricing, enabling dynamic scaling up to petabyte-scale datasets. It differentiates itself with end-to-end data curation at scale and easy integration, backed by awards and contributions to ImageNet, with a team of CMU-educated PhDs and immigrant-friendly VC support. Its goal is to help organizations train better AI models more efficiently and cost-effectively by ensuring access to high-quality data throughout the training lifecycle.

Company size
11-50
Company stage
Series A
Total funding
$57.7M
Headquarters
Redwood City, CA
Founded
2023

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