As a Total Rewards Partner, you will design and manage global compensation and benefits programs, focusing on compliance and competitiveness in the US and UK. You'll oversee annual benefits renewals, lead compensation benchmarking, and collaborate with cross-functional teams to align programs with company goals while providing strategic guidance and managing stakeholder relationships.

As a Product Designer at Cognism, you will own the end-to-end UX/UI design process, focusing on creating impactful design solutions through collaboration and problem-solving. You will work autonomously while ensuring high design standards and effective communication. The role involves continuous iteration based on user and business needs.

As a Sales Development Representative at Cognism, you will engage inbound leads, conduct outbound prospecting via calls, emails, and LinkedIn, and maintain high performance amidst a competitive environment to help drive revenue growth.

As an Account Executive at Cognism, you will engage with commercial business decision makers using a solution-first consultative sales approach. Collaborate with various departments, meet quarterly quotas, and contribute to the growth of the French region's go-to-market strategy. You must have proven success as a quota-carrying Account Executive in a SaaS company.

The Senior MLOps Engineer role involves building and managing automation pipelines for ML platforms, designing architectures on AWS, ensuring MLOps best practices, and collaborating closely with Data Scientists for model deployment and monitoring. The position focuses on optimizing and enhancing ML service quality and scalability while implementing efficient workflows.

The Senior MLOps Engineer will build and manage automation pipelines, design cloud architectures, ensure MLOps best practices, and collaborate with Data Scientists to integrate AI/ML models. Responsibilities include optimizing ML services, monitoring production workloads, and implementing MLOps frameworks and tools on cloud platforms.

The Senior MLOps Engineer at Cognism will optimize ML services, build automation pipelines, implement architectures on AWS, enforce best practices, and maintain production-critical ML systems, acting as a bridge between AI and Engineering teams.

As a Senior MLOps Engineer, you will optimize ML services, manage automation pipelines, design AWS architectures, and provide tools for the Data Science team. Your role includes monitoring production ML services and collaborating with data scientists to integrate AI/ML models. You will also establish MLOps best practices to enhance workflow quality and efficiency.

The Senior MLOps Engineer at Cognism will optimize and enhance the quality of ML services, design architectures on AWS cloud, build automation pipelines, collaborate with Data Scientists for model integration, and maintain critical ML services. This role is crucial for implementing best practices in MLOps and ensuring scalable ML workflows.