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Design, develop, and implement Salesforce solutions (Sales Cloud, CPQ, Apex, Visualforce, LWC). Integrate systems via REST/SOAP, manage enviroments and change control, use Git and data/integration tools, and deliver technical documentation while collaborating with cross-functional teams.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

As a Senior Software Engineer, you will build and own .NET services integrated with Azure AI, design retrieval pipelines, and develop workflows using agentic AI concepts.

The Senior Software Engineer, AI will develop and maintain AI/ML features, implement models, and collaborate on innovative solutions within a cross-functional team.

The Senior Engineer is responsible for building AI observability capabilities, ensuring AI systems are reliable and continuously improving, while working with cloud and data engineering teams.

The Senior Software Engineer - AI will develop AI-driven systems, integrate models, provide technical leadership, ensure quality, and collaborate across functions in a cross-functional team.

The Principal Software Engineer-AI will lead the development of backend and orchestration systems for AI applications, mentor engineers, and drive multi-quarter initiatives while ensuring system reliability and performance at scale.

The Associate Product Manager will support the PM team by assessing customer problems, prioritizing product backlogs, conducting research, and ensuring effective product delivery, while learning and growing in product management skills.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.