Senior Strategic BD - AssetHub

Simple Closure, Inc

$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Deep knowledge of AI data and model training ecosystem.
  • Experience at an AI lab or related data/evaluation company.
  • Proven track record in closing complex, high-value partnerships.
  • Comfortable structuring and negotiating licensing and commercial terms.
  • Technical fluency to communicate credibly with researchers.
  • Existing network within AI ecosystem is a strong advantage.
  • Self-starter with experience in a fast-moving business environment.
  • Minimum of 7 years in business development or partnership roles.

Responsibilities

  • Own and grow partnerships with frontier labs and AI teams.
  • Identify and open doors for new asset demand.
  • Structure and negotiate commercial licensing terms with legal.
  • Translate buyer needs into supply sourcing and packaging.
  • Stay updated on market trends and competition.
  • Represent the company credibly with technical stakeholders.
  • Develop scalable processes for buyer-side partnerships.

Benefits

  • Competitive equity package
  • Comprehensive health benefits, including medical, dental, and vision
  • Life insurance
  • Unlimited paid time off
  • Flexible hybrid work environment in major metro areas
  • Two company-wide offsites each year
  • 401(k) with Traditional and Roth options, with immediate eligibility
Full Job Description
Job Overview

We're hiring a Strategic AI Partnerships & BD Lead to help us expand, and own some of our top AI partners and asset buyers. You'll originate, structure, and grow the partnerships that turn our unique supply of assets into recurring licensing revenue - building relationships with AI labs and the companies that serve them, understanding exactly what they need for pre- and post-training, and translating that demand back into how we source and package supply. This is a senior, high-autonomy role for someone who knows the AI data and training ecosystem inside and out and can operate credibly with the people building frontier models.
Key Responsibilities
  • Own and grow buyer-side relationships across frontier labs, RL environment builders, data and evaluation vendors, labeling firms, and enterprise AI teams - from first conversation through signed, recurring licensing deals.
  • Originate new demand: identify which organizations need which assets - pre-training corpora, post-training and RL data, codebases, workspace data, specialized datasets - and open the door.
  • Structure and negotiate commercial terms - licensing structures, exclusivity, rights, and pricing, including MSAs and order forms - in close partnership with legal.
  • Be the voice of the buyer internally: translate what labs actually need into how we source, qualify, and package supply, working with product, supply, and engineering.
  • Stay ahead of a fast-moving market - training methods, evolving data needs, and the competitive landscape of labeling, RLE, and data vendors - and shape our commercial strategy accordingly.
  • Represent AssetHub credibly with senior technical and commercial stakeholders at labs and partners.
  • Build the repeatable playbook and infrastructure - pipeline, process, and materials - that lets buyer-side partnerships scale.
Desired Skills & Qualifications
  • Deep, current knowledge of the AI data and model-training ecosystem - both pre-training and post-training / RL - and how labs actually acquire and use data.
  • Experience at an AI lab, an RL environment or data/evaluation company, or in a function that sold to or partnered with those companies (BD, partnerships, GTM, or commercial).
  • A track record originating and closing complex, high-value partnerships or commercial deals, ideally involving data or technical products.
  • Comfort structuring and negotiating licensing and commercial terms alongside legal - exclusivity, rights, and pricing.
  • Fluent enough in the technical substance to earn credibility with researchers and technical buyers, without needing to be an engineer.
  • An existing network across labs, RLE / data companies, or the broader AI ecosystem is a strong plus.
  • A self-starter who is comfortable with ambiguity and energized by building a young, fast-moving business.
  • A senior operator - typically 7+ years in BD, partnerships, or commercial roles, with meaningful time in or adjacent to the AI / ML ecosystem.
  • Based in (or willing to work hybrid from) the Los Angeles, San Francisco, or New York metro.
What we offer
  • Competitive compensation package consisting of a base salary and performance-based variable component.
  • Competitive equity package
  • Comprehensive health benefits, including medical, dental, and vision
  • Life insurance
  • Unlimited paid time off
  • Flexible hybrid work environment in New York City, Midtown or San Francisco
  • Two company-wide offsites each year
  • 401(k) with Traditional and Roth options, with immediate eligibility

*We are unable to support any visa outside of Canada (no H1B Visas)
Application Process

Thanks for applying! If your experience is a strong match for what we're looking for, our hiring team will reach out to schedule an initial screening call and walk you through the rest of our interview process.

We do our best to respond to every applicant, but given the volume of applications we receive, we may not be able to provide individual updates if we decide not to move forward.

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