Head of AI Partnerships & Data Licensing

Insight Global

Seattle (WA)

On-site

USD 160,000 - 220,000

Full time

3 days ago
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Job summary

Insight Global is seeking a Head of Technology Partnerships to own the relationship with AI buyers and lead the data licensing and catalog strategy for enterprise teams. You will build and manage partnerships with AI labs, model companies, and large-scale AI departments, covering pricing, usage rights, and data refresh terms, while driving expansion post-close.

The role requires strong enterprise sales experience, technical literacy to engage ML teams, and the ability to navigate complex

Qualifications

  • 4–8 years in enterprise or B2B sales, preferably selling data, APIs, developer tools, or AI/ML products.
  • Proven track record of closing six-figure+ deals with multi-month sales cycles.
  • Ability to engage credibly with ML teams and understand buyer needs.

Responsibilities

  • Own the full sales cycle for AI company accounts, from outbound prospecting to close.
  • Build a pipeline of AI labs, model companies, and enterprise AI teams.
  • Conduct discovery to map model type, training stage, data gaps and procurement constraints.
  • Collaborate with the FDE team to match buyer needs to catalog offerings and identify gaps.
  • Manage multi-stakeholder buying processes (ML leads, legal, data procurement, finance).
  • Structure and negotiate data licensing agreements including pricing and usage scope.
  • Drive post-close expansion and renewals.
  • Maintain pipeline forecasting and CRM hygiene.

Skills

Enterprise B2B sales
Six-figure deals
Technical literacy
Deal structuring
AI lab network

Job description

Insight Global is seeking a Head of Technology Partnerships to own the relationship with AI buyers and lead the data licensing and catalog strategy for enterprise teams. You will build and manage partnerships with AI labs, model companies, and large-scale AI departments, covering pricing, usage rights, and data refresh terms, while driving expansion post-close.

The role requires strong enterprise sales experience, technical literacy to engage ML teams, and the ability to navigate complex

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