Data Acquisition Lead, Frontier Environments
About the role
Role focused on building and owning the commercial motion to acquire data for AI RL environments, coordinating cross-functional efforts from deal origination to execution and translating commercial needs into technical value.
Responsibilities
- Map the supply side. Work backwards from labs to organizations holding underlying data and build a thesis on domains worth owning and the execution order.
- Invent the deal structures. Define pricing and terms with Scale’s legal team.
- Close. Own the process from cold outreach to signature.
- Close the loop with the technical side. Understand what makes a dataset trainable and articulate data value to researchers.
- Build the machine. Start with hands-on work and develop a repeatable pipeline for data acquisition.
Qualifications
- 5+ years across business development, corporate development, commercial strategy, or early-stage GTM with a track record of building a new commercial motion
- Strong track record of managing important external relationships
- Strong business judgment and ability to evaluate partnership value quickly
- Clear communication skills and comfort with senior stakeholders
- Ability to operate independently while staying connected to cross-functional teams
- 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 tech companies
- Familiarity with post-training, RL, evals, or synthetic data
- Experience with data licensing, IP, or regulated data
- Experience partnering with Legal and Finance on complex agreements
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend (optional/additional benefits may apply)
About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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