# Head of Hyperscaler Partnerships

**Company:** [Together AI](https://hotfix.jobs/companies/together-ai)
**Location:** San Francisco, CA
**Role:** Partnerships
**Salary:** $300k – $350k/yr
**Experience:** 10+ years
**Skills:** Strategic Partnerships, Business Development, Alliance Management, Deal Structuring, Cloud Distribution, Model Licensing, Marketplaces, Private Offers, Consumption-Based Revenue Models, Cloud Commitment Vehicles, APIs, Model Serving, Software Stacks
**Posted:** 2026-06-26

> Lead end-to-end hyperscaler partnership deals including complex commercial negotiations, revshare structures, model licensing, and marketplace private offers. Requires 10+ years in strategic partnerships with hyperscaler experience.

## Job Description

## Responsibilities
- Own the Full Deal Cycle for Hyperscaler Partnerships: Lead end-to-end partnership development with major cloud service providers. Manage relationship-building through complex commercial negotiations, launch, and long-term expansion.
- Navigate Complex Orgs with Precision: Map and develop relationships across the full stakeholder matrix at partner organizations — from product and engineering to alliance managers, procurement, legal, and C-suite executives.
- Drive Commercial Structures That Create Durable Value: Design and negotiate deal structures across multiple surfaces, including revshare, marketplace private offers, and model licensing. Partner with Finance on revenue modeling and with Legal on IP provisions and liability.
- Be the Internal Champion for Partnership Strategy: Translate partner needs and ecosystem signals into actionable internal recommendations. Collaborate with Partner Marketing on co-marketing initiatives and joint announcements, showcasing real-world enterprise value through joint case studies.

## Requirements
- 10+ years in strategic partnerships, business development, or alliance management, with meaningful time spent at a hyperscaler or structuring significant deals with them.
- Proven ability to close complex, multi-surface agreements involving cloud distribution, model licensing, and inference infrastructure SLAs.
- Deep understanding of marketplaces, private offers, consumption-based revenue models, and cloud commitment vehicles.
- Sufficient depth to engage with engineering on APIs, model serving, and software stacks.
- Partner-first orientation with the ability to build trust quickly and find the "win-win" in competitive environments.

## Preferred Qualifications
- Direct experience with hyperscaler / CSP strategic deal mechanics.
- Experience structuring partnerships across multiple product surface areas with differing priorities and stakeholders.
- Background working with AI infrastructure, ideally on both compute and token / model serving side.

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