Engineering Manager (AI)

TL;DR

Engineering Manager (AI): Leading the Notebook Dataplane team, which is responsible for running user code in the Notebook and building a reliable, low-latency service for serverless products with an accent on technical vision, architecture, and execution for the service. Focus on driving the technical vision, architecture, and execution for the service.

Salary: $190,900—$253,750 USD

Company

Databricks is the data and AI company that provides a Data Intelligence Platform to unify and democratize data, analytics and AI for more than 10,000 organizations worldwide.

What you will do

• Define and drive the stateful user code execution service vision.
• Partner with serverless platform teams to build the service.
• Own the roadmap and execution, ensuring all team deliverables are met with high quality and on schedule.
• Define team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
• Collaborate cross-functionally with teams across the stack.

Requirements

• 10+ years of software engineering experience, with a strong track record of technical leadership and impact.
• 3+ years of engineering management experience.
• Experience designing, building, and operating scalable SaaS platforms.
• Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.
• Strong system-level skills; experience with containers and K8S is highly desirable.
• Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.

Culture & Benefits

• Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.
• Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
• Drive innovation in a fast-paced, data-driven environment where your work helps shape the future of Databricks.