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The AI Product Manager will develop products for creating datasets for AI training, improve model performance in collaboration with researchers, and manage the complete product lifecycle from development to launch. They will lead cross-functional teams and engage with executive leadership on product strategies.

The Strategic Account Executive will drive revenue growth in the Generative AI vertical, manage strategic accounts, and work cross-functionally to ensure customer success. Responsibilities include developing solution strategies, conducting negotiations, and achieving client satisfaction while building relationships with technical and business audiences.

Perform manual and automated testing of a complex front-end application, collaborate with stakeholders to gather product requirements, and develop frontend tests using Cypress framework.

The Public Sector Strategist will lead efforts in acquiring and growing business within the EMEA region, focusing on AI solutions for public sector clients. Responsibilities include developing revenue strategies, building strong relationships with stakeholders, and successfully closing complex sales. The role requires cross-functional collaboration and the ability to communicate technical concepts effectively.

The Technical Recruiter will lead the full lifecycle recruitment process for Software Engineers at Scale AI, partnering with hiring managers and using data insights to optimize recruitment strategies. Responsibilities include developing job descriptions, fostering relationships with candidates, ensuring diverse hiring practices, and influencing hiring decisions based on best practices and data metrics.

The Lead Counsel will provide legal guidance on product development and privacy issues, manage legal risks, and ensure regulatory compliance for AI-based products. Responsibilities include developing legal functions, partnering with business teams, ensuring adherence to privacy laws, and drafting agreements.

As a Senior Data Engineer at Scale, you’ll develop the analytical infrastructure to support the business's data needs. You will create scalable data pipelines, implement a data warehouse and business intelligence systems, and ensure data quality for timely decision-making.