Role Overview

We're looking for a Partner Manager to build and scale strategic partnerships across the AI infrastructure ecosystem. This role is ideal for someone who understands GPU compute, AI workloads, infrastructure economics, and can translate that into high-impact partnerships that drive revenue and growth.

You'll work directly with leadership to identify, close, and grow partnerships with AI companies, model providers, data platforms, and infrastructure resellers.
Key Responsibilities

Build Strategic Partnerships

Identify and develop relationships with hardware vendors, system integrators, and solutions vendors, focused on the ai infrastructure arena.

Source and close new partner opportunities aligned with Hydra Host's GPU and bare metal offerings

Drive Revenue Growth

Own partner pipeline from outreach, joint value proposition, expansion, and go-to-market activities.

Create scalable revenue channels through resellers, affiliates, and strategic alliances

AI Infrastructure Positioning

Clearly communicate Hydra Host's value in GPU compute, low-latency networking, and high-performance bare metal

Align partner needs with infrastructure solutions (training clusters, inference scaling, etc.)

Expand Ecosystem

Build relationships with:

OEM, System Integrators, and Ai-related ISVs

Data pipeline providers

Cloud & hybrid infrastructure players

Identify integration and co-selling opportunities

Partner Success & Retention

Ensure partners are successful and growing on Hydra Host

Track performance metrics and optimize partnerships over time

Own the Partner Portal with measurable results and partner KPIs.
What We're Looking For

3-5+ years in partnerships, business development, or strategic sales

Strong understanding of AI infrastructure, GPU compute, or cloud/bare metal environments

Experience working with:

AI/ML companies or tools

Infrastructure or hosting providers

Technical products with complex sales cycles

Ability to:

Speak both technical and business language

Build relationships with founders, engineers, and executives

Navigate fast-moving, startup environments
Bonus Points

Experience with NVIDIA GPUs, CUDA ecosystems, or AI training/inference pipelines

Existing network in the AI startup or infrastructure space

Background in data centers, hosting, or cloud infrastructure