Head of Growth
Luminal
Head of Growth
Luminal
Serverless AI deployment with GPU kernels
3+ years of full-time professional experience.
Experience selling technical software or infrastructure to engineering, ML, or platform teams.
Ability to build pipeline and develop a sales motion from scratch, with clear examples of business you've personally won.
Experience owning customer relationships after the sale, including adoption, retention, or expansion.
Technical fluency and the ability to learn an unfamiliar product and work closely with engineers.
AI-infrastructure sales experience is a strong plus.
Luminal (YC S25) builds an AI compiler and serving stack that optimizes models for faster, more efficient execution across accelerators. We're a small team working in person in San Francisco.
Be Luminal's first sales hire and take over our founder-led sales motion. You'll work directly with the founders to find the right buyers, sharpen our messaging, close business, and turn early customers into lasting relationships.
The role is approximately 50% pre-sales and 50% post-sales:
Pre-sales: Create pipeline, run discovery, coordinate technical evaluations with engineering, and own deals through closing.
Post-sales: Coordinate onboarding, help customers adopt Luminal, maintain the account relationship, and grow usage through retention and expansion.
This is Luminal's lead commercial role, with the opportunity to build and lead our entire sales team as the company grows. You'll start hands-on, developing the playbook while doing the work yourself.
Annual base salary: $175,000–$200,000 USD.
On-target earnings (OTE): $250,000–$300,000 USD, including base salary and target variable compensation.
Luminal provides a serverless cloud platform for deploying AI models with greater speed and reliability. Its main offering is an open-source machine learning compiler that automatically translates PyTorch models into optimized GPU kernels (e.g., Flash Attention) without manual tuning, working directly with CUDA and Metal through Rust. The platform offers features like auto-scaling, auto-batching, and on-demand weight streaming to handle varying traffic and minimize idle GPU time, acting as a drop-in upgrade to PyTorch to simplify production deployment. Differences from competitors include an end-to-end compiler-driven path that generates high-performance GPU code without extra engineering and a focus on compute-lean, low-overhead deployment in a serverless framework. Luminal aims to make it easier and cheaper to move AI models from research to production by reducing the engineering burden and speeding up inference, with YC-backed funding and a San Francisco base.
Explore more opportunities at Luminal