Business Operations Lead

Reposted 2 Days Ago
Hiring Remotely in USA
Remote
Mid level
Artificial Intelligence • Software
The Role
The Business Operations Lead will optimize core company systems, drive initiatives, develop reporting, partner with leadership, and improve internal processes to support Prime Intellect's growth.
Summary Generated by Built In
Business Operations Lead

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 be the operational force multiplier behind Prime Intellect’s rapid growth. Work directly with the CEO and leadership across GTM, engineering, finance, and product to design systems, processes, and reporting that scale the company. Handle the highest-priority cross-functional initiatives — from strategic planning to execution on core business systems, data flows, resource allocation, and special projects.

This is a generalist, high-ownership role for someone who thrives in ambiguity and wants to help architect the operating system of a next-gen AI infrastructure company.


Responsibilities

Build and optimize core company systems across GTM, finance, operations, and product.

Drive key operational initiatives end-to-end — scoping, planning, execution, iteration.

Develop reporting and dashboards for company-level metrics — revenue, compute usage, burn, GTM efficiency.

Partner with leadership on operating cadence — weekly reviews, quarterly planning, board materials.

Own vendor and partner coordination across compute suppliers, contractors, and service providers.

Improve internal processes to reduce friction across teams — from contracting to onboarding to budgeting.

Support fundraising materials, investor reporting, and strategic narrative development.

Ensure cross-team alignment and unblock high-priority projects.

Manage internal knowledge and process documentation as the company scales.


What We're Looking For

3 to 7 years in business operations, strategy, consulting, finance, or startup ops.

Exceptional generalist problem-solver who moves fast and thinks in systems.

Strong analytical abilities — financial modeling, dashboards, forecasting, data synthesis.

Operational rigor — you create clarity, structure, and repeatable processes from chaos.

Comfort with technical products and high-level ML / compute concepts.

Excellent communicator who works seamlessly across engineering, GTM, and leadership.

Bias for action and ownership — you unblock yourself and others.


Bonus:

Startup or founder experience.

Understanding of cloud compute, ML workflows, or infra economics.

Experience supporting GTM, finance, FP&A, or product ops.

Hands-on experience with Notion, HubSpot/Salesforce, BI tools.


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

Bi Tools
Hubspot
Notion
Salesforce
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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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