Sr Product Manager, Employee Experience

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

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

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

RDQ426R193 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. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you’ll play a critical role in building and scaling our next-generation Search product — spanning Vector Search, Keyword Search, and Search Quality. You’ll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you’ll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks. Check out our recent blog post: Decoupled by Design: Billion-Scale AI Search The impact you will have: Lead a team of talented software engineers to design, build, and operate the next-generation cloud-native Search services. Drive innovation across Vector Search, Keyword Search, and Hybrid Search capabilities to improve relevance, latency, and cost efficiency. Build a strong partnership with product and research teams to define the roadmap for Search Quality, including ranking models and evaluation frameworks. Mana

P-1489 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 We are seeking a Senior Staff Technical Program Manager to own and lead a company-wide portfolio of security programs spanning Trust & Safety Engineering, Identity and Access Management, Platform Security, Security Operations, Product Security, and IT. This role will take a major security risk portfolio from strategy to measurable risk reduction by driving prioritization, architecture alignment, investment planning, execution, adoption, and operationalization. The scope connects customer-facing product security with internal engineering and enterprise controls across Databricks’ product, corporate, and Databricks-on-Databricks environments. Success means advancing a complex security domain, creating clarity where direction is incomplete, and materially improving Databricks’ security posture, customer trust, and ability to operate at scale. The TPM will structure ambiguous problems, evaluate technical and resourcing tradeoffs, establish durable decision mechanisms, and align VP- and Director-level organizations with competing priorities and shared dependencies. This is an executive-facing role and a trusted partner to C-suite executives, VPs of Engineering and Product, Security executives, and senior architects. The TPM will communicate risk, options, decisions, progress, and escal

P-1093 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. The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses products such as Predictive Optimization, Liquid Clustering, and control plane services facilitating Unity Catalog and Iceberg Rest Catalog API-based access to ManagedTables. The team is accountable for optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings. As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art: Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization Efficient storage structures and innovations to power storage layout solutions for the ML world Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables The Impact you will have: Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners Deliver a highly scalable, available, and inter-operable architecture for Managed Tables. Lo