Domino Data Lab
Jobs at Domino Data Lab
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Recently posted jobs
Artificial Intelligence • Machine Learning
Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.
Artificial Intelligence • Machine Learning
The Content Marketing Manager will oversee content production for demand generation, crafting high-quality copy, managing contributors, and optimizing content performance across various channels.
Artificial Intelligence • Machine Learning
The Account Executive will focus on selling Domino's platform to Life Sciences organizations, developing relationships with executives, and driving sales strategies to generate significant revenue.
Artificial Intelligence • Machine Learning
The Strategic Sales Development Representative at Domino Data Lab will focus on sourcing outbound leads, qualifying inbound leads, and collaborating with sales, marketing, and product teams to drive customer engagement and insights.
Artificial Intelligence • Machine Learning
As a Revenue Accountant, you will handle billing and collections, apply revenue recognition expertise, collaborate with sales, prepare financial reports, and maintain internal controls.
Artificial Intelligence • Machine Learning
Lead product management for Domino's AI Factory, enhancing MLOps capabilities, driving innovations, and integrating governance in model development. Engage with enterprise clients and maintain high product quality standards.
Artificial Intelligence • Machine Learning
The Customer Success Manager will maintain relationships with clients, ensure satisfaction, drive revenue generation, and support Domino Cloud adoption.
Artificial Intelligence • Machine Learning
Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.
Artificial Intelligence • Machine Learning
Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.
Artificial Intelligence • Machine Learning
The Solutions Engineer will engage with life sciences customers to understand their technical challenges and implement effective AI solutions through tailored proof-of-concepts, architecture design, and prototype development, ensuring successful customer deployments.
