Yotta Energy

Yotta Energy

Sales Manager – GPU Compute & AI Model APIs

United States · Full-time

Sponsorship not specifiedDetected 114 days ago
AWSCloud PlatformsKubernetesMachine LearningLLMsMLOpsSalesBusiness DevelopmentNegotiationOutbound SalesResearchCommunication

About the role

  • We enable training and inference across NVIDIA GPUs, AMD GPUs, and AWS Trainium, helping AI companies achieve the best performance and economics across heterogeneous hardware.
  • As a core member of a lean startup team, you'll combine frontline sales execution with strategic input on product and pricing.
  • Please include links to any relevant projects or contributions.

Nice to have

  • 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.
  • 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.
  • 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.

Skills

  • careers@yottalabs.ai
  • 🧠 About Yotta Labs
  • 🛠️ Role Overview

Company info

  • Apply: careers@yottalabs.ai
  • Yotta Labs is building the next generation multi-silicon AI cloud and runtime platform to power the world's most demanding AI workloads.
  • Our mission is to provide high-performance AI computing and Model API services, enabling AI companies, research labs, and enterprises to train, deploy and integrate cutting-edge models at scale.
  • 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.
  • 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.
  • 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.
  • ✅ Qualifications
  • 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.

This listing is sourced directly from Yotta Energy's careers page and normalized into a canonical job model.