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The Senior Engineering Manager will lead engineering teams to build scalable infrastructure and products for the Databricks platform, ensuring high technical standards and supporting engineers in their development while collaborating with product leadership.

The Sr. Product Manager will define the product vision and roadmap for the Compute Platform, engage with customers, and coordinate cross-functional teams to ensure product success.

Manage and scale APJ Partnerships team's GTM strategy using data-driven insights, support pipeline/forecast calls, and conduct ROI analyses.

As a Staff Product Manager, you will lead product management activities for the Databricks Runtime team, focusing on cloud infrastructure and data governance. Responsibilities include gathering customer requirements, defining product roadmaps, and coordinating product launches.

Lead design and ownership of an AI-native web platform: web framework, design system, CMS, CI/CD, infrastructure, rendering and edge delivery. Define architecture and agentic SDLC, build evaluation guardrails, mentor engineers, and drive platform-wide technical alignment and migrations.

The Product Manager will oversee product activities, gather customer requirements, collaborate with engineering, and define product strategies for the Databricks Runtime team.

The role involves creating and managing large-scale data and AI products, focusing on user experience, and leading significant engineering efforts.

Lead and scale a regionally focused Forward Deployed Engineering team partnering with enterprise accounts to deliver data platform migrations, AI/ML and GenAI solutions. Drive delivery governance, billable performance, and high-stakes customer engagements while mentoring engineers and ensuring measurable business impact.

Lead and grow a regional Data & AI technical solutions team in India to ensure resiliency and performance of customer production workloads across APJ and EMEA. Oversee support operations, resolve complex data engineering and ML/streaming incidents, optimize performance, stabilize workloads on new features, engage with customers and product teams, and develop team technical expertise.

Lead the architecture and development of an inference engine for Databricks Model API, optimizing for performance and scalability while collaborating with researchers and cross-functional teams.