Search the 24 jobs at Cognism

As a Content Manager at Cognism, you will develop and execute a multimedia content strategy, create diverse content formats, activate campaigns through various channels, optimize for SEO, and measure content performance to drive demand generation.

As a Compliance Manager at Cognism, you will lead compliance operations, manage regulatory standards, and oversee compliance initiatives. Your role includes handling inquiries, conducting due diligence on vendors, refining documentation, and collaborating with teams to ensure compliance processes are met.

As a Customer Marketing Manager, you will focus on customer-centric demand generation strategies aimed at driving upsell growth within the existing customer base. Responsibilities include planning campaigns, analyzing performance data, collaborating across teams, and optimizing initiatives for retention and expansion.

The Demand Generation Marketing Manager will develop and execute marketing strategies for Cognism and Kaspr brands in Spanish- and English-speaking territories. Responsibilities include managing marketing strategies, collaborating with various teams, creating campaigns, handling translations, overseeing CRM, and creating reports.

The Customer Expansion Manager at Cognism is responsible for driving upsell growth within the existing customer base through multi-channel demand generation campaigns. This role involves campaign management, strategic execution, data analysis, and collaboration with marketing teams to optimize customer retention and advocacy efforts.

The role involves leading the design and development of scalable web applications, mentoring the engineering team, managing technical debt, and ensuring code quality through testing, all while collaborating with product managers and driving technology vision.

The Senior Engineering Manager will lead a team of 5-8 engineers to deliver high-quality software, enhance team communication, and facilitate hiring and performance feedback processes. The role involves minimal coding focus but requires a strong grasp of architectural challenges and facilitating strategic discussions within the team.

The Senior MLOps Engineer will optimize and improve ML services and products at Cognism by building and managing automation pipelines, designing secure and scalable cloud architectures, and acting as a bridge between AI, Engineering, and DevSecOps. Responsibilities include ensuring best practices in MLOps, maintaining production ML services, and collaborating with Data Scientists for integration of AI/ML models.

Cognism is seeking a Senior Engineering Manager to lead a team of 5-8 engineers, oversee software delivery, manage hiring processes, and ensure effective communication across teams. The role requires strong project management skills and experience with technical challenges while minimizing hands-on coding.

The Senior Backend Engineer will design and develop Scala microservices, write integrations, and contribute to product architecture. They will work with various CRM technologies and ensure robust integration with external services through OAuth. Strong communication and critical thinking skills are essential for decision-making in technical projects.

The Senior Backend Engineer will design and develop Scala microservices connecting applications to CRMs and third-party tools, contribute to product architecture, and integrate external services using OAuth2.0. Strong programming skills in Java or C#, along with experience in Agile development, are essential.

Seeking an experienced Enterprise Account Executive to manage the full sales cycle, build key relationships, and close high-value deals at a leading international sales intelligence company. Must have a proven track record of exceeding sales targets and be adept at managing complex sales processes and multi-stakeholder negotiations.

The Senior MLOps Engineer at Cognism will focus on optimizing and improving ML services, building automation pipelines, and implementing best practices in MLOps. The role includes designing architectures on AWS, collaborating with Data Scientists, and maintaining production ML workloads.

The Paid Media Manager will oversee budget management, campaign reporting, and strategy for LinkedIn and Google Ads, driving ROI through performance marketing. The role includes audience segmentation, campaign creation, and collaboration with marketing teams to enhance campaign quality and efficiency.

The Senior Backend Engineer will design and develop Scala microservices, contribute to architectural decisions, and integrate CRM services. They will utilize any of the major programming languages and work with various messaging platforms. Additionally, they will engage in technical problem-solving and collaborate in an Agile environment.

The Senior Engineering Manager will lead a team of 5-8 engineers, focusing on delivering high-quality software, providing regular feedback, coordinating with stakeholders, and maintaining a strong understanding of architectural challenges. They will also own the hiring process for their team.

The MLOps Engineer will optimize ML services by creating automation pipelines, designing cloud architectures, and enforcing best practices within the Data Science team. They will act as a liaison between AI, Engineering, and DevSecOps, ensuring smooth deployment and maintenance of ML models.

The Senior Full Stack Engineer will design and implement scalable systems, mentor the engineering team, manage technical debt, and collaborate closely with Product Managers. They will focus on developing efficient code for both frontend and backend applications using various modern technologies and frameworks.

The Senior Engineering Manager will lead a team of 5-8 engineers, focusing on delivering high-quality software efficiently, coordinating with stakeholders, and overseeing the hiring process. The role involves managing project timelines, providing feedback, and maintaining an understanding of architectural challenges.

The Senior MLOps Engineer will enhance ML services by optimizing workflows, building automation pipelines, designing cloud architectures, and collaborating with Data Scientists. Responsibilities include deploying ML models, ensuring service reliability, and implementing best practices in MLOps.