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The Senior Applied AI Researcher will conduct applied AI research to improve M&A processes by developing AI models, collaborating with cross-functional teams, and prototyping AI solutions. This role focuses on enhancing efficiency in document review and organization while ensuring customer trust and product innovation.

The Sales Executive will support the Enterprise Sales Directors at Datasite in growing territory revenue and managing accounts. Responsibilities include on-boarding training, relationship building with clients, maintaining sales records, and learning Datasite's policies and best practices, with a focus on achieving sales results.

The MLOps Engineer will implement production monitoring and alerting for various machine learning models. Responsibilities include collaborating with Data Scientists, ensuring model integration into production, and designing monitoring systems. The role requires creating documentation and effectively troubleshooting alerts based on data input analysis.

The Sales Development Representative is responsible for follow-up communications to identify qualified prospects for Datasite's solutions. Responsibilities include achieving contact goals, managing sales pipelines, building relationships with clients, and collaborating with marketing and sales teams. Attention to detail, time management, and professional communication are essential for success in this role.

As a Field Marketing Manager, you will develop and execute marketing programs to drive revenue and customer acquisition in the Americas, collaborating with sales and corporate teams. You will manage the regional marketing budget, design field marketing programs, track ROI, and communicate effectively with sales leadership and teams.

Looking for a Senior AI/ML Scientist with experience in creating, optimizing, and deploying ML and NLP solutions. Responsibilities include building and deploying AI solutions for document review, organization, and Q&A processes.

Senior Infrastructure Automation Engineer at Datasite, responsible for automating internal business systems using infrastructure as code techniques. Requires expertise in Linux and Windows, and experience with cloud platforms like Azure, AWS, and Google Cloud. Responsibilities include automating processes, providing technical support, and collaborating with IT teams and vendors.