Business Operations Manager
Listed on 2026-07-30
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Business
Operations Management
Job Description – Business Operations Manager
Location:
San Francisco (on-site at our offices)
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go‑to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (Git Hub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, Deep Learning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The OpportunityArtificial Analysis is scaling from ~40 to ~80 people this year while running the benchmarks the AI industry relies on. The operational load of that growth, from finance and contracts to onboarding and the leadership team’s operating cadence, currently runs through our Chief of Staff. We’re hiring a Business Operations Manager to own it properly.
This is not a back‑office role. You will report to the Chief of Staff, work directly with our founders, sit in the room for critical leadership discussions, and be trusted with the most sensitive information in the company. The bar is an operator we would put in front of anyone: sharp, fast, discreet, and allergic to dropped balls. You will pick up problems, scope them, and run them to done without waiting for direction.
And the seat has serious legs: as the company scales, this role is positioned to grow into an operations leadership position.
- Own Finance Operations: Invoicing and receivables, accounts payable, expense management, monthly close with our external accountants, and clear reporting on run rate and trajectory
- Own Contract Administration: Customer and vendor agreements, NDAs, statements of work and data protection agreements: run the signature workflows, track renewals, and give leadership a first‑pass read on risks and key terms
- Own Customer and Supplier Onboarding: Run the operational side of new customer and vendor setup: contracts, billing details, procurement, security questionnaires and systems access, so commercial momentum never stalls on admin
- Run the Office and Guest
Experience:
Our San Francisco office, visits from the leading AI companies in the world, team events and offsites, team leave and travel: make the space and the experience reflect the brand - Run Onboarding and People Operations: Equipment, systems access, payroll setup and first‑week logistics so every new joiner lands well in a team hiring ~40 people this year, and keep people and immigration operations organized alongside our external counsel
- Support the Leadership Operating Cadence: Prepare materials, track actions and decisions, and keep things moving
- Systematize and Automate: Evaluate, implement and own our operational tooling (expense management, HRIS, ATS and similar), project‑manage compliance initiatives as enterprise requirements arrive, and replace manual processes with systems, embracing an AI‑native workflow
Required:
- Demonstrated excellence, both academically and professionally
- Fast ability to build rapport and trust with senior stakeholders
- 3+ years in business operations, finance operations, or a chief‑of‑staff‑adjacent role in a high‑growth environment
- Extreme organization and follow‑through: things given to you do not come back
- Discretion and sound judgment with sensitive information, including compensation, legal and company financials
- Comfort with numbers: invoices, budgets, reconciliations, and the ability to spot when something is off
- Strong written and verbal communication
- Experience at a startup that scaled headcount…
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