Search the 6 jobs at Databook

The Python Engineer will enhance the reliability, scalability, and performance of the Databook platform, collaborate with cross-functional teams, and implement scalable solutions using AWS and other technologies, while writing clean and maintainable code.

As a Platform Engineer, you'll enhance the reliability, scalability, and performance of the platform, collaborate with cross-functional teams, and implement best practices in backend engineering and DevOps. You'll optimize backend systems, oversee CI/CD processes, and document system performance while participating in on-call rotations.

Seeking a security engineer to join the team and strengthen cloud security protocols during the launch of DatabookGPT, a platform revolutionizing sales strategies. Responsibilities include implementing security measures, defining system security requirements, analyzing AI use cases, and developing technical solutions to mitigate security vulnerabilities.

The Head of Applied AI will lead the execution of AI projects, collaborating with leadership and cross-functional teams to drive successful outcomes. This role requires designing and building scalable AI systems on AWS, mentoring engineering teams, and staying updated on AI advancements while communicating complex topics effectively.

The Client Partner will focus on generating new business, building strategic relationships, and achieving sales goals through effective execution of the sales lifecycle. Responsibilities include managing sales opportunities, conducting engaging presentations, forecasting sales activity, and keeping up with industry trends.

As the Head of Data Engineering at Databook, you will drive the vision and execution of data capabilities, work with cross-functional teams to build data architecture, and enhance culture in the India office. Responsibilities include driving technical innovation, establishing processes for operational excellence, managing data quality, and developing a high-performing data engineering team.