The Product Backend Engineer at Kalibri Labs will design, build, and scale their SaaS business intelligence platform, Hummingbird PXM. Responsibilities include developing backend functionalities, ensuring performance and scalability, optimizing data pipelines, and collaborating with cross-functional teams.

The MLOps Engineer will work with cross-functional teams to build a secure continuous deployment pipeline on cloud infrastructure, automate processes, and ensure quality of Data Science solutions while integrating machine learning lifecycles and enhancing operational efficiency.

The Software Engineer will develop and maintain the SaaS-based Hummingbird PXM platform, collaborating with cross-functional teams to design features, write tests, and address performance issues. The role involves applying Agile methodologies for effective team communication and workflow management.

The Machine Learning Engineer will enhance the scalability and efficiency of data science solutions, operationalize AI/ML algorithms, and build automated systems for model training and monitoring, collaborating closely with data scientists and product teams.

The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines to enhance efficiency and value. This role involves mentoring other data engineers, optimizing processing pipelines, defining data SLAs, and ensuring data integrity through automated quality tests. The engineer will also participate in code reviews and work closely with the data architect on scalable solutions.

The Sales Development Representative at Kalibri Labs will focus on generating new business opportunities through prospecting, lead generation, outreach, and nurturing relationships. This role requires engagement with potential clients via calls, emails, and social media, while managing the CRM and collaborating with sales and marketing teams to support growth and sales goals.

The Customer Success Representative will assist customers with support requests, quality assurance, training material development, and sales support. The role involves monitoring client services, managing salesforce operations, performing analyses, and reporting on key performance indicators in a dynamic, remote environment.

The Senior Full Stack Engineer will design, build, and scale a SaaS-based business intelligence platform, working primarily on front-end development while also contributing to back-end tasks as needed. They will collaborate with a cross-functional team to implement best practices in software development, mentor team members, and ensure the application meets security and performance standards.