Member of Technical Staff

Artificial Analysis, Inc.Sydney, California
Hybrid

About The Position

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 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. This role puts you at the forefront of the AI frontier — you won't just observe the cutting edge of AI, your work will define what cutting edge means. We're hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You'll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies. This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines. You'll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don't yet understand — and we're offering a front row seat.

Requirements

  • Intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
  • Strategy Consulting background (e.g., Management Consultant, Associate, Engagement Manager, Data Scientist) with experience in data analytics divisions (e.g., QuantumBlack, AI by McKinsey, BCG X / Gamma) is preferred. Ability to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders.
  • Hands-on experience with modern AI systems and understanding how models work at a technical level.
  • Experience building and shipping AI products in a fast-moving environment, operating across research, engineering, product, and commercial work.
  • Strong analytical and critical thinking skills
  • Proficiency in Python and data analysis
  • Genuine, demonstrable interest and knowledge of frontier AI — informed opinions about where AI is heading, not just people who use AI tools

Nice To Haves

  • Candidates with experience within a data analytics division such as QuantumBlack, AI by McKinsey, BCG X / Gamma or equivalent.
  • You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
  • Looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
  • Understand both how AI systems work technically and how they get brought to market.
  • Looking for a role where that breadth is the job, not a side effect of being early at a small company.

Responsibilities

  • Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities
  • Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy
  • Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen
  • Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking
  • Contribute to company strategy and drive large initiatives that will support us in being the leading AI benchmarking company

Benefits

  • Competitive compensation including equity
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