Data Acquisition Lead, Frontier Environments
Scale AI · San Francisco, CA; New York, NY · New York, NY · San Francisco, CA
CHECKED 13H AGO
Infrastructureonsitelead$182k–$228k
At a glance
Highlights
- Own end-to-end deals securing data that powers RL environments.
- Map supply side and build thesis on which AI domains to own next.
- Turn hands-on dealmaking into a repeatable acquisition pipeline.
What they offer
- Equity compensation
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
Ideal candidate
Entrepreneurial dealmaker with 5+ years building zero-to-one commercial motions who thrives in ambiguity, loves bridging business and research, and cares about shaping frontier AI.
Requirements
- 5+ years across some mix of business development, corp dev, commercial strategy, or early-stage GTM
- 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, RL, evals, or synthetic data
- Experience with data licensing, IP, or regulated data
- Experience partnering closely with Legal and Finance on complex agreements
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta