Jobs at Artificial Analysis, Inc.

Lead full-stack development of the Artificial Analysis website using a TypeScript/Next.js stack. Build UI and data visualizations, maintain PostgreSQL databases on Supabase, improve DevOps/CI/CD, mentor a small engineering team, and leverage LLMs and AI tools to accelerate development.

Lead development and optimization of a data‑intensive AI benchmarking stack: build Python-based backend systems and APIs, implement model evaluation and analyses, create interactive data visualizations, run custom enterprise analyses, and help evolve benchmarking methodology.

Lead high-priority, cross-functional initiatives end-to-end: scope, build initial systems (reporting, pricing, market ops), deliver analysis and recommendations, execute decisions, and transition to long-term owners while supporting founders and Chief of Staff.

Lead full-stack development of the Artificial Analysis website using a TypeScript/Next.js stack. Build UI and interactive data visualizations, work with PostgreSQL on Supabase, improve DevOps/CI-CD, mentor a small engineering team, and apply LLMs and AI tools to accelerate development.

Lead product development and operations for image and video AI benchmarking: build prompt libraries and evaluation frameworks, run human preference studies, manage generation pipelines, benchmark new models, engage industry partners, and support strategic marketing and community outreach to shape media-generation standards.

Run and maintain end-to-end image and video benchmarking pipelines, design and manage human preference studies, process and analyze vote data, ensure data quality, and serve as technical liaison to model providers while documenting processes and monitoring new model releases.

Design and run performance benchmarks for GPUs, TPUs and custom inference silicon; develop evaluation methodology and cost/throughput models; analyze inference economics; partner with chipmakers; produce reports and visualizations; extend benchmarking stack and use AI-native workflows to inform deployment and procurement decisions.

Own full-cycle technical recruiting for AI-focused roles: source passive senior engineers, manage pipelines and interviews, coordinate with founders and hiring managers, run structured fast processes, manage agencies, and deliver a high-quality candidate experience while adopting AI-native sourcing tools.

Lead development and optimization of the AI benchmarking stack, build data‑intensive backend systems and APIs, implement Python solutions for benchmarking and evaluation, create visualizations and interfaces, conduct custom enterprise analyses, and evolve benchmarking methodologies. Work closely with founders and manage projects end-to-end.

Own finance and contract administration, customer and vendor onboarding, office and guest experience, people operations and onboarding, support leadership cadence, and implement operational systems and automation to scale the company.