Jobs at Arena (arena.ai)

Design and analyze experiments and causal studies, build retention measurement and predictive models, develop scalable PySpark/SQL data pipelines, create dashboards, and partner with product and growth teams to improve user engagement and retention.

The Assistant Controller will lead the accounting function, manage financial operations, oversee audits, and implement systems for a growing AI company.

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

Lead design and scaling of People programs (onboarding, performance, compensation), advise leaders on org design and employee relations, build lightweight processes, manage compliance, and drive culture and headcount planning for a growing AI startup.

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.

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

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

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.

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.

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.

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.