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обновлено 7 дней назад

Data Acquisition Lead (AI)

182 400 - 228 000$
Формат работы
onsite
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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Описание вакансии

Текст:
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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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