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6 дней назад

Data Acquisition Lead, Frontier Environments (AI)

182 400 - 228 000$
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Data Acquisition Lead, Frontier Environments (AI) (Data Acquisition and AI): Building a zero-to-one commercial motion for acquiring proprietary datasets that power RL environments, with an accent on domain prioritization, deal structuring, and data value assessment. Focus on identifying data-holding organizations, negotiating licensing agreements, closing partnerships, and turning hands-on acquisition work into a repeatable pipeline.

Location: San Francisco, CA or New York, NY, United States

Salary: $182,400–$228,000 USD per year, plus potential equity and benefits.

Company

Develops reliable AI systems, RL environments, high-quality training data, and full-stack technologies for leading models and enterprise and government AI applications.

What you will do

  • Map the supply side by identifying organizations that hold data for high-value AI and research domains.
  • Build a thesis on which data domains are worth acquiring and how they should be prioritized.
  • Develop transaction structures and pricing approaches in partnership with Legal.
  • Own the acquisition cycle from cold outreach through negotiation and signature.
  • Assess dataset trainability and data value while translating between commercial and Research teams.
  • Turn initial hands-on acquisition work into a repeatable commercial pipeline.

Requirements

  • 5+ years of experience across business development, corporate development, commercial strategy, or early-stage go-to-market.
  • Demonstrated success building a new commercial motion or function from the ground up.
  • Strong external relationship management, business judgment, communication, and independent operating skills.
  • Experience in AI, data infrastructure, marketplaces, platforms, or high-growth technology companies.
  • Experience with data licensing, intellectual property, regulated data, or complex agreements involving Legal and Finance.
  • Familiarity with post-training, reinforcement learning, evaluations, or synthetic data.

Culture & Benefits

  • Full-time employment with base salary, potential equity, and benefits.
  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits, learning and development stipend, and generous paid time off.
  • Potential commuter stipend depending on eligibility.
  • Inclusive equal-opportunity workplace with reasonable accommodation support.

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