Top Artificial Intelligence Jobs

The Senior DevOps Engineer will enhance customer experience by deploying product updates, identifying production issues, and implementing integrations. Responsibilities include building new development tools, designing automated processes, managing Infrastructure as Code, and ensuring system security while collaborating with development teams.

As the Regional Vice President of Enterprise Sales, you will lead a team of Strategic Enterprise Account Executives, manage sales strategies, drive new sales growth, engage with enterprise customers, and develop high-performing sales reps to achieve goals.

The Senior Systems Administrator will manage day-to-day operations of infrastructure, maintaining Linux and Windows environments, performing user administration on LDAP and Windows AD, and supporting data center operations. Responsibilities include system builds, patching, and assisting with integration of technology from acquisitions.

The Cloud Infrastructure Engineer will work with enterprise architecture to plan and implement cloud infrastructure solutions, migrating workloads to Azure and optimizing current systems across cloud platforms. The role involves leveraging infrastructure-as-code tools, collaborating with stakeholders, and supporting operational handoffs.

As Vice President of Life Sciences, you will enhance client-facing activities for our clinical trial optimization services, focusing on biopharma and CRO engagements. Your responsibilities include driving pipeline development, managing partner relationships, translating strategy into operations, and capturing market insights.

As a Senior Information Security Analyst at Iodine, you will manage security operations, respond to incidents, design information security programs, and collaborate with stakeholders on Cyber Security exercises, including Tabletop and Red Team activities.

The Senior Data Product Manager will lead the development of a data analytics product, set product strategy, collaborate with engineering and data science teams, and optimize insights for manufacturing processes. Responsible for managing product features and ensuring timely delivery while integrating diverse data sources.