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The Sr. Product Manager for AI Observability will lead the development and execution of product strategy focused on understanding and improving customer data and AI operations. Responsibilities include defining product roadmaps, engaging with clients to gather requirements, collaborating with engineering for product builds, and driving the success of integrations while measuring product effectiveness.

As a Strategic Enterprise Account Executive at Databricks, you will drive sales within the Life Sciences sector, manage customer relationships, close new and existing accounts, and excel in meeting revenue targets. You will leverage your understanding of cloud and big data solutions to promote Databricks' platform to CIOs and other key stakeholders.

As a Sr. Product Manager for AI Observability, you will manage the product roadmap, gather customer requirements, develop product strategies, and drive features that enhance observability for data and AI environments. This role requires collaboration with engineering, stakeholders, and marketing to ensure product success and improve customer experience.

As Senior Staff Product Manager for the Spark Engine team, you will coordinate product activities from vision to implementation, understand customer needs, define product roadmaps, and ensure product success through cross-functional collaboration and integrating with data warehousing tools.

As a Staff Product Manager for the Databricks Runtime team, you will manage product development from vision to implementation, engage with customers to gather requirements, launch new features, and oversee product roadmaps and success metrics. You will collaborate closely with engineering and other stakeholders to ensure alignment and execution.

As a Software Engineering New Grad, you will collaborate with engineers to build and improve the Databricks platform, manage software development from design to production, and implement features with reliability and scalability in mind.

The Sr. Engineering Manager for DBSQL AI at Databricks will lead a distributed engineering team to innovate and enhance the data and AI infrastructure by integrating ML/AI into SQL workloads. Responsibilities include recruitment, team organization, product execution, and aligning goals with organizational priorities.