Jobs at Hive

The Office Manager will oversee office operations, ensure a positive work environment, support HR tasks, manage vendors, and be a liaison with building management.

The Systems Engineer / DevOps role focuses on automating operations, managing infrastructure, and supporting development workflows in a hybrid cloud environment.

As a Senior Frontend Engineer at Hive, you will build high-performance applications, work with design and product teams, and enhance user experiences using advanced web technologies.

The Enterprise Account Executive will manage sales processes, identify new business opportunities, collaborate with leadership, and exceed sales quotas while maintaining client relationships.

As an Account Executive, you will develop new relationships, manage existing accounts, and drive sales for AI solutions at Hive.

Design and improve backend systems, write secure scalable code, participate in on-call support, and enhance engineering standards and processes.

The role involves building secure user interfaces using React, collaborating with design and product teams, and ensuring code security and best practices.

The Sales Operations Manager will provide strategic direction, analyze sales metrics, improve operations, and support the sales team to enhance performance.

The Engineering Manager will lead a team of engineers, oversee development cycles, and ensure project milestones are met while promoting best practices in security and mentorship.

The Senior Site Reliability Engineer will automate operations, optimize workflows for teams, manage secure infrastructure, and participate in on-call duties.

The Staff Software Engineer will design, implement, and improve backend systems, ensuring high availability and scalability, while contributing to product development and debugging issues.

Design and build scalable backend systems and APIs, improve engineering standards, ensure code security, and debug production issues at Hive.

As a Product Manager for AutoML, you will oversee the development of features for Hive's AutoML platform, collaborating with stakeholders, managing project timelines, and ensuring successful product execution.

The Machine Learning Engineer will design, deploy, and maintain ML models, work with large datasets, and collaborate with teams to enhance AI solutions.

The Staff Machine Learning Engineer will design, code, and deploy ML models, improve backend systems, and mentor engineers.

Lead and mentor a team of machine learning engineers, drive ML projects, and collaborate across departments to enhance product features and model improvements.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.