Location: Remote (North America)

Type: Full-time

Company: Yotta Labs

Apply: [email protected]

🧠 About Yotta Labs

Yotta Labs is building next-generation AI infrastructure to power the world’s most demanding AI workloads. We provide high-performance GPU compute and Model API services, enabling AI companies, research labs, and enterprises to train and deploy cutting-edge models at scale. Our platform aggregates geo-distributed GPU resources—from commodity to high-end accelerators—and offers elastic, cost-effective access to AI compute. We also provide production-ready Model APIs for major large language models (LLMs) with customizable endpoints, making it easy for customers to integrate state-of-the-art AI capabilities into their products.

🛠️ Role Overview

We are hiring a Sales Manager – GPU Compute & AI Model APIs to drive revenue growth and build our sales function from the ground up. You will own two core revenue lines: GPU compute sales (on-demand and reserved GPU capacity for AI training and inference) and Model API sales (managed API access to leading LLMs and custom models). This is a hands-on role—you’ll be directly engaging customers, closing deals, and growing accounts while helping shape our go-to-market strategy. As a core member of a lean startup team, you’ll combine frontline sales execution with strategic input on product and pricing. Ideal for someone who loves building and isn’t afraid to roll up their sleeves.

🎯 Responsibilities

• Own the full sales lifecycle for both GPU compute and Model API products—from prospecting and qualifying leads to closing deals and expanding long-term partnerships.

• Drive GPU compute revenue by identifying organizations with large-scale training, fine-tuning, and inference workloads, positioning Yotta Labs as their preferred infrastructure provider.

• Grow Model API adoption by engaging AI application developers, SaaS companies, and enterprises looking for reliable, scalable, and cost-effective API access to leading LLMs.

• Develop and execute outbound sales strategies targeting high-value accounts across AI startups, research labs, and enterprise customers scaling AI workloads.

• Work closely with marketing to create compelling sales collateral, case studies, and campaigns that highlight our GPU compute and Model API value propositions.

• Navigate complex technical and commercial conversations, collaborating with engineering and product teams to tailor solutions to customer requirements.

• Consistently meet or exceed revenue and ARR targets, contributing to the growth of a repeatable and scalable sales motion.

• Represent Yotta Labs at industry conferences, AI/ML meetups, and customer meetings to grow our presence in the AI infrastructure ecosystem.

✅ Qualifications

• 3+ years of experience in sales or business development in cloud infrastructure, GPU compute, AI/ML platforms, or a related technical domain.

• Strong understanding of the GPU cloud market, AI/ML workflows, model training/inference pipelines, and the compute requirements of modern AI applications.

• Proven track record of closing complex B2B deals and growing accounts in high-growth or technical markets.

• Familiarity with Model API/LLM-as-a-Service offerings and the ability to articulate technical differentiation to both developers and business stakeholders.

• Deep network in the AI and/or cloud infrastructure ecosystem with an ability to initiate and nurture executive-level relationships.

• Exceptional communication and negotiation skills; comfort working directly with technical and business stakeholders.

• Highly self-motivated, with strong execution skills and the ability to operate autonomously in a startup environment.

🌟 Preferred Experience

• Previous experience at a GPU cloud provider (e.g., CoreWeave, Lambda, Together AI), AI infrastructure startup, or cloud hyperscaler.

• Hands-on experience selling GPU compute capacity, reserved instances, or cloud AI/ML services.

• Experience selling API-based AI products or working with teams that build on LLM APIs (e.g., OpenAI, Anthropic, or similar).

• Experience working with AI research teams, MLOps engineering groups, or AI application developers.

• Familiarity with container orchestration (Kubernetes), AI developer tooling, and modern ML infrastructure stacks.

• Background in computer science, engineering, or a related technical discipline.

🌐 Why Join Yotta Labs?

• Be part of a visionary team aiming to redefine AI infrastructure.

• Work on cutting-edge technologies that bridge AI and decentralized computing.

• Collaborate with experts from leading institutions and tech companies.

• Enjoy a flexible, remote work environment that values innovation and autonomy.

📩 How to Apply

Interested candidates should apply directly or send their resume and a brief cover letter to [email protected]. Please include links to any relevant projects or contributions.