Top Tech Jobs & Startup Jobs

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.