Назад
6 дней назад

Data Acquisition Lead, Frontier Environments (AI)

Тип работы
fulltime
Грейд
lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Data Acquisition Lead, Frontier Environments (AI): Building a zero-to-one commercial motion for acquiring proprietary data used in AI reinforcement-learning environments with an accent on market mapping, deal structuring, and dataset value assessment. Focus on closing data partnerships, translating between commercial and research teams, and turning manual acquisition work into a repeatable pipeline.

Company

Scale AI develops reliable AI systems, high-quality training data, and full-stack technologies for AI applications.

What you will do

  • Map the supply side by identifying organizations that hold data for high-value domains and developing a thesis on acquisition priorities.
  • Design initial transaction and pricing structures in partnership with Legal.
  • Own the commercial process from cold outreach through negotiation and signature.
  • Evaluate what makes datasets trainable and explain the value of underlying data to Research and technical stakeholders.
  • Build the data acquisition function manually at first, then convert learnings into a repeatable pipeline.

Requirements

  • 5+ years across business development, corporate development, commercial strategy, or early-stage go-to-market, with experience creating a new commercial motion.
  • Strong record of managing important external relationships and evaluating partnership value.
  • Clear communication skills and comfort working with senior stakeholders and cross-functional teams.
  • Ability to operate independently in fast-moving, ambiguous environments and build new functions hands-on.
  • 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.

Nice to have

  • Familiarity with post-training, reinforcement learning, evaluations, or synthetic data.

Culture & Benefits

  • Inclusive and equal opportunity workplace with reasonable accommodation support.
  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits, learning and development stipend, and generous paid time off.
  • Potential commuter stipend and equity eligibility for eligible roles.

Hiring process

  • Compensation is determined during the interview process based on work location, skills, qualifications, interview performance, and related education or training.
  • Candidates may not be reconsidered for the same role until 90 days after a prior application.

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