GPU Cloud Marketing Specialist - Part-time - Worldwide

Company Overview

Unsung Fields is a cutting-edge AI infrastructure company founded in August 2024, revolutionizing the GPU cloud hosting landscape. We're strategically partnered with Tenstorrent, led by legendary semiconductor architect Jim Keller, to deliver next-generation AI computing solutions.

Our mission: Democratize AI development by providing world-class GPU cloud infrastructure through our hosting services featuring NVIDIA H100, H200, L40S GPUs and Tenstorrent's AI processors.

What We're Building

• GPU Cloud Hosting Platform: High-performance, hourly-billed GPU instances (H100×8, H200×8, L40S) for AI training and inference
• Tenstorrent AI Cloud: Revolutionary inference-optimized cloud services using Tenstorrent Galaxy Wormhole servers
• Developer-First Experience: Seamless platform bridging traditional SDKs/IDEs with GPU-powered development workflows

Your Role: GPU Cloud Marketing Specialist

We're seeking a professional with computational resource hosting industry business experience who understands the unique challenges of marketing GPU cloud services to AI developers, researchers, and enterprises.

Key Responsibilities:

• Competitive Pricing Strategy: Develop hourly GPU pricing models that balance competitiveness with profitability across H100, H200, and L40S instances
• Benchmark & Positioning: Establish performance benchmarks against major GPU cloud providers (AWS, GCP, Lambda Labs, RunPod, etc.)
• User Experience Optimization: Identify and address specific pain points in GPU cloud adoption - from onboarding friction to billing transparency
• Technical Marketing: Create content that resonates with ML engineers, AI researchers, and technical decision-makers
• Growth Strategy: Design campaigns that highlight our unique value propositions (Tenstorrent partnership, competitive pricing, developer experience)

Current Challenges We Need Your Help With:

• Pricing Strategy: Determining optimal hourly rates for GPU instances in a competitive market
• Competitive Analysis: Understanding what users really value when choosing GPU cloud providers
• User Pain Points: Identifying why developers switch providers and what keeps them loyal
• Market Positioning: Differentiating our Tenstorrent-powered offerings in the crowded GPU hosting space

What We're Looking For

Essential Experience & Skills:

• GPU Cloud Marketing Expertise: 3+ years in GPU-as-a-Service platforms with a strong understanding of the ecosystem, competitive landscape, and developer-focused marketing.
• Pricing & Strategy: Experience with usage-based GPU pricing models, cost-per-compute optimization, and data-driven pricing/market analysis.
• Technical Marketing Skills: Ability to communicate complex GPU specifications, CUDA capabilities, AI/ML workload requirements, and cloud infrastructure concepts to technical audiences.
• B2B SaaS & Developer-Focused Campaigns: Proven track record marketing infrastructure services, engaging AI/ML developers, research institutions, and technical teams.
• Analytical & Communication Skills: Strong analytical mindset for competitive benchmarking and strategic decision-making, with excellent English communication skills.

Industry Knowledge We Value:

• Familiarity with GPU cloud market dynamics (AWS EC2 P4/P5, GCP A100/H100, and specialized providers)
• Understanding GPU utilization patterns, workload scaling, and cost optimization
• Awareness of AI/ML developer workflows and emerging AI hardware trends

Nice-to-Have:

• Previous work at GPU cloud providers (Lambda Labs, RunPod, Vast.ai, etc.)
• Experience marketing to AI/ML communities and research institutions
• Background in developer relations or technical evangelism
• Understanding of emerging AI hardware trends (beyond NVIDIA)

Technical Understanding:

• GPU specifications, performance characteristics, and AI/ML workload requirements
• Cloud infrastructure, developer tooling, and GPU ecosystem (CUDA, PyTorch, TensorFlow basics)