Member of Technical Staff

About Artificial Analysis

Artificial Analysis is the leading independent AI benchmarking and insights company. We support 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 25+, on track to double by mid-year, 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.

The Opportunity

Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities. 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. 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.

What You’ll Do

• AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets
• Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy
• Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware
• Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry
• Company Strategy: Contribute to company strategy and drive large initiatives that will support us in being the leading AI benchmarking company

What We’re Looking For

You have an 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. We hire MTS from three backgrounds: (1) Strategy Consulting — from firms like McKinsey, BCG, Bain, with strong preference for data analytics divisions like QuantumBlack or BCG X. (2) AI and Machine Learning — ML Engineers, AI Engineers, Technical PMs, or Solutions Engineers at AI companies. (3) Technical Product Management — Founding Engineers, Product Managers, or generalist roles at early-stage AI companies.

• Strong analytical and critical thinking skills
• Proficiency in Python and data analysis
• Genuine, demonstrable interest and knowledge of frontier AI

Why Artificial Analysis?

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.
• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.
• Work with the most important players in AI: You'll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.
• Join at a defining moment: We're 25+ people, doubling this year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.
• Competitive compensation including equity
• Our team is split across San Francisco, Sydney, and Melbourne