[Hiring] Sales Manager – GPU Compute & AI Model APIs @Yotta Labs

Role Description

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.

Benefits

• 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.