Strategic AI Partnerships, BD Lead

SimpleClosure

Strategic AI Partnerships & BD Lead at SimpleClosure. Focusing on growing partnerships and licensing revenue for AI data and training.

Posted 7/21/2026full-timeSan Francisco • California, New York • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep knowledge of the AI data and model-training ecosystem, with a strong ability to originate and close complex partnerships. Skilled in structuring and negotiating commercial terms while effectively communicating technical needs to stakeholders.

Highest-signal resume keywords

AI Data Ecosystem KnowledgePartnership DevelopmentCommercial Deal StructuringTechnical CredibilityNetwork Across AI Labs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Partnership OriginationCommercial NegotiationLicensing StructuresData AcquisitionModel-Training Knowledge

Soft Skills

Self-StarterComfort with AmbiguityRelationship Building

Industry Keywords

AI LabsRL EnvironmentData VendorsEvaluation CompaniesCommercial Strategy

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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 (remote but must be in SF)
Two company-wide offsites each year
401(k) with Traditional and Roth options, with immediate eligibility