Data Acquisition Lead

San Francisco, United States Full-time On-site $182.4k — $228k per year 10/26/2026 Job ID: 000495
Apply Now
Business development Corporate development Commercial strategy Early-stage GTM Managing external relationships

Summary

What you’ll impact

The Data Acquisition Lead at the organization will own the end‑to‑end commercial motion to acquire data for new AI domains, mapping supply, structuring deals, and building repeatable pipelines. This zero‑to‑one role requires a blend of dealmaking, technical translation, and hands‑on execution to create valuable datasets for the organization’s RL environments.

Responsibilities

What you'll do

  • Map the supply side. Work backwards from where labs are pushing to the specific organizations holding the underlying data. Build a thesis on which domains are worth owning and in what order.
  • Invent the deal structures. You'll work with Scale’s legal team to define the first version of how these transactions get priced.
  • Close. Own it from cold outreach to signature.
  • Close the loop with the technical side. You need to hold a real conversation about what makes a dataset trainable and become an expert in what makes this underlying data valuable.
  • Build the machine. Do the work by hand first, then turn what you learn into a repeatable pipeline.

Requirements

What you’ll bring

  • 5+ years across some mix of business development, corp dev, commercial strategy, or early-stage GTM. The label matters less than a track record of building a commercial motion that didn't exist before you got there
  • A strong track record of managing important external relationships
  • Strong business judgment and the 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
  • A 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

Ready to Move Forward?

Apply now and our recruiting team will reach out with next steps, interview guidance, and client insights tailored to this role.