Account Executive

Reposted 11 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
50K-300K Annually
Mid level
Artificial Intelligence • Software
The Role
The Account Executive will manage enterprise account sales, handling the full sales cycle for AI infrastructure products and maintaining relationships with technical buyers.
Summary Generated by Built In
Account Executive

Location: San Francisco
Employment Type: Full time
Department: Operations

Building Open Superintelligence Infrastructure

Prime Intellect is building the open superintelligence stack — from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full RL post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.

We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.

Your Role

You will own the full sales cycle for a high-velocity and high-complexity product — compute, RL infrastructure, and post-training services. Work a focused book of high-potential accounts and convert interest into pilots and long-term contracts. You are a technical seller who thrives in conversation with ML engineers and research leaders and can articulate the value of frontier-scale reinforcement learning.

This role is perfect for someone who wants to sell one of the most technically advanced products in AI and help define how Fortune 500s, AI labs, and high-growth startups adopt next-gen training infrastructure.

Responsibilities

Prospect, qualify, and manage a pipeline of high-value enterprise accounts.

Run full-cycle sales: outbound, discovery, technical scoping, pilot design, negotiation, close.

Sell compute + RL post-training as a unified story with clear value for ML and infra teams.

Work closely with Solutions and TAMs to ensure smooth onboarding and successful pilots.

Maintain rigorous pipeline hygiene, forecasting accuracy, and CRM discipline.

Identify expansion opportunities and grow accounts into multi-year engagements.

Contribute to GTM playbooks, messaging, objection handling, and repeatable sales motions.

Represent Prime Intellect in external meetings, events, and ecosystem conversations.


What We're Looking For

2 to 5 years of enterprise sales experience in developer tools, cloud, infrastructure, or AI products.

Proven ability to close $50k to $300k+ ACV deals with technical buyers.

Technical fluency — comfortable speaking about GPUs, compute, ML development, and post-training.

Strong outbound instincts and ability to open high-value conversations with AI labs and ML teams.

Great communicator who handles complex cycles and multiple stakeholders smoothly.

High ownership and thrive in fast-moving, ambiguous contexts.


Bonus:

Experience selling ML infra, compute, or training platforms.

Familiarity with RL, model customization, or agentic AI.

Network in the AI/ML ecosystem.

Early-stage experience where you helped shape the sales process.


What We Offer

Competitive Compensation + equity incentives
Flexible Work (remote or San Francisco)
Visa Sponsorship & relocation support
Professional Development budget
Team Off-sites & conference attendance
Opportunity to Shape Decentralized AI at Prime Intellect

Top Skills

AI
Cloud
Compute
Gpus
Infrastructure
Ml
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The Company
HQ: San Francisco, CA
16 Employees

What We Do

Prime Intellect democratizes AI development at scale. Our platform makes it easy to find global compute resources and train state-of-the-art models through distributed training across clusters. Collectively own the resulting open AI innovations, from language models to scientific breakthroughs.

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