AI Data Sourcing & Partnerships Lead

Scale

San Francisco, New York (CA, NY)

On-site

USD 182,000 - 228,000

Full time

14 days+
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Benefits offered by this job

Health, dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Commuter stipend

Job summary

Scale is seeking a Data Acquisition Lead to own the end-to-end commercial motion for sourcing data, partnering with labs and external organizations. You will craft deal structures, manage strategic relationships, and drive negotiations from outreach to signature while aligning with R&D teams on data value and trainability.

You will operate in a fast-moving environment, wear multiple hats, and build a repeatable pipeline for data acquisition, with compensation details and equity considerations

Qualifications

  • 5+ years across business development, corp dev, commercial strategy or GTM.
  • Track record of managing external relationships.
  • Clear communication with senior stakeholders.
  • Ability to operate independently while staying connected to cross-functional teams.

Responsibilities

  • Map the supply side and build a thesis on domains to own and order of pursuit.
  • Invent the deal structures with Scale's legal team for pricing.
  • Close deals from cold outreach to signature.
  • Coordinate with the technical side and understand what makes data trainable.
  • Build the process and pipeline for repeatable data transactions.

Skills

Business development
Corp dev
Strategic thinking
Stakeholder management
Cross-functional collaboration
Independent operator
Hands-on approach
Adaptability
Data licensing
Negotiation

Job description

Scale is seeking a Data Acquisition Lead to own the end-to-end commercial motion for sourcing data, partnering with labs and external organizations. You will craft deal structures, manage strategic relationships, and drive negotiations from outreach to signature while aligning with R&D teams on data value and trainability.

You will operate in a fast-moving environment, wear multiple hats, and build a repeatable pipeline for data acquisition, with compensation details and equity considerations

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