Sales Manager – GPU Compute & AI Model APIs
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Sales
- Posted
Skills
Must have
- 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.
Nice to have
- 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.
Full description
Location: Remote (North America)
Type: Full-time
Company: Yotta Labs
Apply: careers@yottalabs.ai
🧠 About Yotta Labs
Yotta Labs is building the next generation multi-silicon AI cloud and runtime platform to power the world’s most demanding AI workloads. 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. 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.
🛠️ 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.