Высокоуровневая роль в одном из лидеров AI-индустрии. Предстоит с нуля создавать систему сбора данных в самом передовом сегменте рынка.
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Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Data Acquisition Lead (AI): Building a zero-to-one commercial motion for acquiring company data used in reinforcement-learning environments with an accent on domain mapping, deal structuring, and dataset value assessment. Focus on closing data partnerships, translating between commercial and Research teams, and turning hands-on acquisition work into a repeatable pipeline.
Location: San Francisco, CA; New York, NY. The compensation section also references Seattle, WA.
Base salary: $182,400–$228,000 USD per year, plus potential equity and benefits.
Company
Scale AI develops reliable AI systems, high-quality 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 holding data for domains that AI labs are targeting and develop a thesis for acquisition priorities.
Work with Legal to invent and define pricing structures for data transactions.
Own the commercial process from cold outreach through signed agreements.
Evaluate what makes datasets trainable and valuable while translating between commercial and Research teams.
Build the acquisition function manually at first, then turn the learning into a repeatable pipeline.
Requirements
5+ years across business development, corporate development, commercial strategy, or early-stage go-to-market, with a track record of building a commercial motion that did not previously exist.
Strong track record of managing important external relationships.
Strong business judgment and ability to evaluate partnership value quickly.
Clear communication skills and comfort working with senior stakeholders.
Ability to operate independently while staying closely connected to cross-functional teams.
Practical, hands-on approach to building new functions from the ground up.
Comfort working in fast-moving, ambiguous environments.
Experience in AI, data infrastructure, marketplaces, platforms, or high-growth technology companies.
Familiarity with post-training, reinforcement learning, evaluations, or synthetic data.
Experience with data licensing, intellectual property, or regulated data.
Experience partnering closely with Legal and Finance on complex agreements.
Culture & Benefits
Inclusive and equal opportunity workplace with reasonable accommodations available during the application and recruiting process.
Comprehensive health, dental, and vision coverage.
Retirement benefits, learning and development stipend, and generous paid time off.
Eligible roles may include equity compensation and a commuter stipend.
Hiring process
Compensation and level are determined during the interview process based on location, skills, experience, qualifications, interview performance, and education or training.
Applicants must wait 90 days before being reconsidered for the same role.
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