AI Native Account Executive, Compute

FAL AI; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

fal is building a high-output compute platform for AI-native teams, offering dedicated GPU clusters and scalable inference services. As an Account Executive on the Compute team, you will own new-logo acquisition and craft a pipeline across startups, neolabs and research-driven model builders.

You will lead hunter-driven sales cycles, engage founders and infrastructure leaders early, and collaborate with Solutions Engineering to run benchmarks and proofs of concept that move customers from

Responsibilities

• Build and own your pipeline.
• Own all net-new logo acquisition across AI-native startups, neolabs and research-driven model builders.
• Build pipeline from scratch through founder and investor networks, targeted outbound, community and events, and the signals that show a team is about to need compute.
• Use fal's product data to spot developers and teams already building on our platform whose usage shows they're ready for a larger compute commitment.
• Keep a focused, prioritized target list. Know which 30 companies matter most this quarter and why.
• Lead technical, consultative sales cycles.
• Engage founders, CTOs, heads of research and infrastructure leads early, often before a formal buying process exists.
• Run deep discovery on workloads: training vs. fine-tuning vs. inference, model architecture and scale, GPU generation, storage and networking, utilization targets and timeline.
• Partner with Solutions Engineering on benchmarks, proofs of concept and architecture reviews.

Job description

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About falfal is the generative media platform for developers. We give the world's most ambitious AI teams the fastest way to run image, video, audio and 3D models in production. We also provide the GPU infrastructure they need to train, fine-tune and serve models of their own.

Our inference engine was built from the ground up for generative media. It has made fal the platform builders reach for when speed, scale and reliability matter. Our customers range from the fastest-growing AI companies in the world to the Fortune 500. More and more of them are coming to us for raw compute as well as inference and model APIs.

We're a small, high-output team, and we're growing fast. If you want to be in the room while the infrastructure layer of generative AI gets built, this is that room.

About the Role

As an Account Executive on our Compute team, you'll own new-logo acquisition across AI-native startups and neolabs. You'll sell fal's full compute offering: dedicated GPU clusters, reserved and on-demand capacity, and the inference platform that developers already build on.

This is a pure hunter role. You won't inherit a book. You'll build one, and with it you'll help define how fal takes compute to market.

What You'll Do

• Build and own your pipeline
• Own all net-new logo acquisition across a defined set of AI-native startups, neolabs and research-driven model builders.
• Build pipeline from scratch through founder and investor networks, targeted outbound, community and events, and the market signals that tell you a team is about to need compute: a fresh fundraise, a new model release, a hiring spree in research.
• Use fal's product data to spot developers and teams already building on our platform whose usage shows they're ready for a larger compute commitment.
• Keep a focused, prioritized target list. Know which 30 companies matter most this quarter and why.
• Lead technical, consultative sales cycles
• Engage founders, CTOs, heads of research and infrastructure leads early, often before a formal buying process exists.
• Run deep discovery on each customer's workloads: training vs. fine-tuning vs. inference, model architecture and scale, GPU generation and cluster topology, storage and networking, utilization targets and timeline.
• Partner with Solutions Engineering on benchmarks, proofs of concept and architecture reviews that s