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The Principal Architect will enforce standardized implementation methods based on field feedback, coordinate with Sales for implementation estimates, maintain a macro view of industry trends, develop deployment best practices, and deliver professional services including analysis and custom training.

As a Graduate Software Developer, you'll develop features for our products, collaborate with talented developers, and participate in innovative projects. You will have the opportunity to grow skills in coding, prototyping, and customer support while contributing to the dynamic environment at Cambridge Intelligence.

The Freelance Editorial Writer will create engaging short- and long-form editorial content for Beautylish’s website. Responsibilities include pitching ideas, writing pieces on trends, tutorials, and product reviews, and assisting with content projects. The role requires strong writing skills, ability to conduct research, and meeting deadlines.

The Senior Software Engineer will design, develop, document, test, and maintain software for robotics applications. Responsibilities include collaborating with customers, participating in design reviews, and working on full stack solutions. The role involves a strong understanding of coding principles and robotics theory, and requires interaction with diverse teams and customers to solve complex problems.

As an Account Supervisor, Digital Marketing Strategist, you will lead paid media campaigns, optimize strategies across various platforms, manage client relationships, and mentor junior team members. You'll analyze performance metrics while advising on marketing tactics to achieve client goals in the B2B sector.

The Senior Engineering Manager is responsible for overseeing the Product Engineering team's performance, ensuring fast and high-quality software delivery, providing technical guidance, leading performance management, recruiting new engineers, and shaping the engineering culture within a vibrant early-stage startup.

As a Mid-Level Data Scientist, you will work on building models, forecasts, and simulations for sports data products, leverage machine learning and statistical modeling, and collaborate with engineering teams to deploy and improve data-driven products.