6 дней назад
Data Acquisition Lead, Frontier Environments (AI)
182 400 - 228 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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