The Senior Software Engineer will own feature development from design to deployment, focusing on user feedback and collaboration with ML researchers.

The Social Media Lead will enhance Arena Intelligence's online presence through content creation, community engagement, and growth strategies on platforms like X and LinkedIn.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

As Associate General Counsel, you will advise on commercial and intellectual property matters, including contract negotiation and IP portfolio management, focusing on AI developments.

The Technical Recruiter will manage full-cycle recruiting, partner with hiring managers, and promote inclusive hiring practices while maintaining a strong candidate experience.

As a Data Scientist, you will analyze complex datasets, build statistical frameworks, and collaborate with ML researchers to improve AI evaluation systems.

The Product Solutions Engineer will integrate AI models with clients, deliver evaluations, improve processes, and collaborate on product development.

The Scientific Content Lead will manage Arena's scientific communications, translate technical work for public understanding, and ensure data quality practices are communicated clearly.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

Responsible for managing relationships with model labs and expanding revenue through strategic account growth, securing partnerships, and ensuring contract management. Must sell complex technical products and navigate procurement processes.

Senior Machine Learning Engineer role focusing on building and improving AI evaluation infrastructures, collaborating with a multidisciplinary team, and contributing to the development of a scalable evaluation platform.

Responsible for building and scaling systems that connect teams, automate workflows, and enhance data integrity across revenue and GTM operations.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

The role involves defining and evolving technical foundations for AI evaluation, optimizing performance, designing resilient systems, and collaborating with various teams for infrastructure improvements.

The Machine Learning Scientist will lead open-source research, design experiments, develop novel methodologies, and analyze large-scale data to advance AI model evaluation and transparency.