Databricks · 5mo ago
The Field Engineering role is changing quickly. AI is changing how technical work gets done, products and customer needs are evolving faster, and the capabilities that distinguish an exceptional FE today will not be exactly the same ones that matter tomorrow.
We are looking for a Lead Learning Product Manager to own the platform learning experience for Databricks customers, partners, and internal practitioners.
The Senior Staff Enablement Program Lead for Global Customer Enablement Partnerships is a strategic, mission-critical leadership role responsible for scaling and accelerating Databricks’ customer enablement business through a global partner ecosystem.
As a Research Scientist on the Agent Flywheel team, you will build the context layer for recursive self-improvement and autofix loops for agents: turning raw production session traces from Databricks’ data agents into online signals agents can optimize against.
As a leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers.
As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API..
Databricks is seeking a Manager to join our Corporate FP&A team. In this role, you will report to the Director of Corporate FP&A and help empower the broader FP&A organization.
As a Scaled Engagement Manager at Databricks, you will be the operational engine of our high-growth Meetings at Events program.
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are seeking a Staff People Partner to join our Corporate Functions People Partner team.
The Enterprise Security team at Databricks is responsible for securing the corporate environment, including the SaaS platforms, internal tools, integrations, automation workflows, and AI-adjacent systems that Databricks employees and operations depend on.
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