Mysten Labs
Senior Dealmaker - AI
USA (Remote) · Senior · Contract
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About the role
- You'll focus on foundation model companies, AI platforms, data platforms, and adjacent infrastructure providers.
- This is a senior individual contributor role with substantial ownership, requiring strategic judgment, commercial creativity, and hands-on execution.
Responsibilities
- Shape our AI partnership strategy. Develop a clear perspective on where Walrus can become essential infrastructure for AI applications and agents. Identify the partners, use cases, and market developments that should guide our investment of time and resources.
- Build relationships with founders, executives, and technical decision-makers at foundation model companies, AI platforms, agent frameworks, data platforms, and adjacent infrastructure providers.
- Create opportunities before there is an established partnership motion.
- Define the opportunity alongside the partner.
- Lead negotiations involving technical integrations, joint product development, distribution, and commercial agreements.
- Navigate competing priorities and create structures that give both organizations a compelling reason to commit.
- Deliver integrations and adoption. Own relationships beyond signing. Align teams on scope, resources, and milestones
- Influence across the organization. Bring partner and market insights into product, engineering, marketing, and leadership discussions. Make clear recommendations, surface tradeoffs, and build alignment around opportunities that require investment across teams.
- Turn early wins into sharper partner selection criteria, stronger deal structures, and more effective execution.
Compensation
- $10k-$15k
Benefits
- Raise the quality of partnership work through sound judgment, shared learning, and mentorship.
Company info
- Our team is remote first and we are hiring across the world.
- Understand how partners build, what their customers need, and where our technology can solve a meaningful problem.
This listing is sourced directly from Mysten Labs's careers page and normalized into a canonical job model.