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The VP of AI will lead Rocket Lawyer's AI strategy and execution, focusing on enhancing AI-powered legal solutions like Rocket Copilot. Responsibilities include managing AI-driven capabilities and promoting ethical AI practices while leading a skilled team and integrating AI technologies across services.

As VP of AI, you will lead Rocket Lawyer's AI strategy, focusing on developing and integrating AI-powered legal solutions, including large language models and machine learning. You'll oversee a team of specialized engineers while driving innovation in AI applications within the legal sector, ensuring the deployment of ethical and efficient technologies.

As VP of AI, you will lead the AI strategy at Rocket Lawyer, focusing on developing AI-powered legal solutions through machine learning, prompt engineering, and model deployment. You will oversee a team of engineers and collaborate with various departments to enhance the customer experience using AI technologies.

The Customer Support Representative at Rocket Lawyer will help expand contact center support, providing high-quality customer experiences and ensuring long-term customer satisfaction. The role requires understanding customers' legal needs and educating them on relevant offerings, primarily through phone communication.

As VP of AI, you'll lead Rocket Lawyer's AI strategy, focusing on AI-powered legal solutions, innovation, and product execution. You'll oversee machine learning and large language models, drive AI adoption, and collaborate across teams to enhance the platform and improve customer experience.

As a Customer Support Representative at Rocket Lawyer, your primary role will be to ensure high customer satisfaction by understanding their legal needs, providing support and guidance about offerings, and handling a high volume of calls in a professional manner.

The Data Engineer will build a reliable data lakehouse for insights, develop data pipelines, translate HiveQL to Snowflake SQL, and ensure data quality. Responsibilities include collaborating with analysts and managing data in GCP, monitoring pipeline performance, and documenting processes.