Sr. Engineering Manager - Agentic Service Platform

RDQ427R365 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” Dashboard team responsible for making Databricks the best product for business users to create, share and consume data insights. We own the entire product stack end-2-end: the Dashboard creation and consumption UI, the query and permissions layer, the control plane for the service, the consumption surface across web, mobile and Desktop as well as the distribution infrastructure across various channels (e-Mail, Mobile, Slack/Teams etc.). At every layer of our stack, we are leveraging AI to change how users interact with and leverage our product in completely new ways to find the answers they need quicker than ever before. We're seeking a dedicated Senior Engineering Manager who will help grow the AI/BI Dashboard product and service platform. This means tackling a number of challenging fullstack and backend problem spaces, for example making agentic dashboard authoring and AI insights fast and performant while maintaining high quality, enabling the creation and consumption of Dashboards and BI features across the entire Databricks platform and scaling our service to the next order of magnitude of users. This role also requires experience in applying AI and LLM technology directly into the product surface and guiding the team to strike a balance between pushing up quality while maintaining performance an

GAQ327R224 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As the enterprise software landscape shifts from standard software-as-a-service to autonomous intelligence, Databricks is leading the charge by fundamentally transforming how an AI company runs itself. We are seeking a Sr. Staff Technical Program Manager (L7) to lead a high-impact internal incubator within our Corporate Engineering organization. Operating as a strategic, hands-on technical leader and a manager of a lean team of 3 to 4 TPMs , you will bridge the gap between internal infrastructure and cutting-edge product engineering. Your primary mission is to build Databricks' first-party agentic application platform designed to architect, deploy, and scale internal AI tools and autonomous digital agents. By driving this mission, you will eliminate corporate reliance on third-party vendors and vendor software, replacing legacy SaaS with native, highly scalable solutions built directly on top of the Databricks platform. In this role, you will act as a premier thought leader redefining the Software Development Life Cycle (SDLC) through the lens of artificial intelligence. You will partner directly with our CIO, Corporate Engineering VPs, R&D Operations, and cross-functional product teams to establish the operational connective tissue necessary to move sophisticated tools from initial concept to f

P-1600 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We build and run the world’s leading data and AI infrastructure platform so customers can transform deep data insights into business outcomes. Founded by engineers and grounded in customer obsession, we embrace every opportunity to tackle complex technical challenges — from creating next-generation UI/UX for interacting with data to scaling our services across millions of virtual machines. And we're only getting started. As the Senior Engineering Manager for Customer Experience Intelligence (CXI), you will architect, lead and deliver Databricks' AI-native systems and products for automating enterprise workflows. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools to accelerate high-volume processes in business-critical domains. Our first production domain is Databricks Support, where we create agents capable of triaging, diagnosing, and remediating complex technical issues across Databricks’ distributed computing environments. The systems you develop as part of this initial beachhead will allow us to create revenue-generating products in multiple domains, including IT, Security, Legal, Marketing, and other knowledge-worker workflows. The Impact You Will Have: Create novel agentic technologies: Contribute to the technical vision, core infrastructure, and backend architecture that advances the frontier for enterprise agents. Drive revenue generation in multiple domains: Build a modular agent platform initially optimized for Support, but natively designed to expand into other verticals such as IT, Security, Compliance, Marketing, HR, and Legal. Lead with craftsmanship: Drive rapid, iterative development cycles across backend, frontend and relevance systems while upholding strict quality, safety, throughput, and re

P-1476 Location: Mountain View, CA At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Sr Software Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Seamless onboarding and management for all members of an organization to become data-driven. Provide a great SQL-centric data exploration and dashboarding experience on Databricks An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: 5+ years of experience with HTML, CSS, and JavaScript Experience leading large multi-quarter efforts with a demonstrated customer or business impact Passion for user experience and design and an understanding of front-end arch

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We are the Lakeflow Engineering team, responsible for Databricks ETL product line: Jobs , Spark Declarative Pipelines , and Genie Code for Data Engineering . We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance. The main responsibilities include: You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform. You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. You will build processes to implement product vision and strategy, according to organizational goals and priorities. You will build software that is not just high quality but easy to operate. You will manage technical debt, including long-term technical architecture decisions and balance product roadmap. What we look for: Minimum 3 years of experience in managing top-tier engineering teams 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals. A passion for database systems, storage systems, distributed systems, or performance optimization

RDQ126R35 At Databricks, observability and governance are what turn a massive, multi-tenant data and AI platform into one customers can trust at scale. We are looking for a senior technical leader to drive strategy and execution across three closely related teams at the heart of that mission: Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance. Query Observability builds the performance and observability tooling, ingesting very large volumes of query telemetry and turning it into history views, execution plans, performance insights, and recommendations that help customers run workloads reliably at scale. Beyond query observability, you will be responsible for building observability and actionable insights at compute level, workspace level, and account level so that admins can confidently manage large accounts. This is a new technical leadership role responsible for setting the durable architecture across all these surfaces, raising the engineering bar of the combined team, and shaping the next generation of agentic experiences that let users — and the systems they run on — investigate, diagnose, and act on insights across query, warehouse, workspace, and account levels. The Impact You Will Have Establish the long-term technical direction across query observability, warehouse management, and account-level governance, and own the multi-year architecture all three surfaces are built on. Design and lead high-impact projects that move the needle on performance, reliability, and cost transparency for customers. Build the next generation of agentic observability and governance — extensible experiences that let users and automated agents investigate, diagnose, and act on telemetry across query, warehouse, and account. Partner deeply with Databricks SQL, Unity Catalog, AI, security, and platform teams to integrate end-to-end visibility and governance across the data plane and control plane. Mentor senior engineers, set the technical