Senior Manager, Go-To-Market Compensation Design & Execution

At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems on the planet—from bringing innovative transportation solutions to life to accelerating the pace of medical advancements. We achieve this by designing and operating a premier data and AI infrastructure platform that enables our clients to leverage profoun…

Join Databricks in Shaping the Future of Data & AI with Databricks SQLAt Databricks, we are revolutionizing the way enterprises and startups harness the power of Data & AI globally. Our Databricks SQL (DBSQL) product stands at the cutting edge of AI-powered cloud data warehousing, enabling businesses to query, visualize, and make real-time decisions effectively at scale. DBSQL is recognized as the fastest-growing data warehouse worldwide. Explore insights on What is a Lakehouse by one of our co-founders.We are seeking a dynamic, strategic, and customer-focused Product Manager to spearhead innovation, define our roadmap, and guide DBSQL into its next growth phase.

Join the Databricks Team:At Databricks, we are dedicated to empowering organizations to leverage the full potential of data and artificial intelligence (AI). Our goal is to create the premier platform for developing, deploying, and managing AI applications at scale, allowing our customers to utilize intelligence to revolutionize their businesses.About the AI Team:The Databricks AI team is at the cutting edge of enterprise AI innovation. We strive to establish foundational capabilities that allow our customers to create agents and models, orchestrate intricate workflows, and seamlessly integrate AI into their data and applications. The rapidly evolving AI landscape necessitates both innovative thinking and the agility to adapt. We are not merely adding features; we are fundamentally reshaping how the world interacts with AI.Your Impact:Define the Future of Enterprise AI: Take charge of the vision for how Databricks enables customers to harness generative AI, agents, and novel workloads that are yet to be imagined.Transform Breakthroughs into Products: Collaborate with elite engineering and research teams to translate cutting-edge AI advancements into practical, reliable tools for millions.Expand Customer Possibilities: Partner with data and AI leaders to identify new use cases, then craft products that make the previously unattainable feasible and repeatable.Guide from Vision to Execution: Inspire and direct the product roadmap, influence engineering, and narrate how Databricks AI is enabling customers to achieve new heights.Build for the Future: Establish a strategy and principles that will steer Databricks AI for years to come, even amidst rapid industry evolution.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. Our mission is to build and maintain the leading data and AI infrastructure platform, enabling our customers to leverage deep data insights for business enhancement. Founded by engineers with a customer-centric focus, we enthusiastically embrace every opportunity to solve technical challenges, whether it's crafting next-generation UI/UX for data interfaces or scaling our services across millions of virtual machines. This is just the beginning of our journey. About the Team: A superior platform demands an exceptional developer experience. Databricks Repos serves as the source control and workflow backbone that empowers data engineers, ML engineers, and analysts to manage code, collaborate with colleagues, and deploy data and AI applications seamlessly. Our team is responsible for creating the version control experience within Databricks, defining how users integrate their Git providers, manage code changes, track lineage, review pull requests, and promote code through jobs, pipelines, and deployments. We aim to deliver a straightforward, reliable, AI-native workflow that harmonizes Git-style development with the unique requirements of data and AI teams. Our objective is to facilitate a smooth journey from authoring to production across notebooks, SQL, Python, and Lakeflow, all within a unified platform. In this role, you will shape the vision and roadmap for Databricks Repos, determining how developers will build, test, review, and deploy code within our environment. You will collaborate with Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to create an integrated and user-friendly path to production. Your Impact: Design the comprehensive path to production experience for data and AI teams, covering everything from authoring to Git integration, CI, and CD. Define the integration of Repos with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows. Work alongside engineers to develop AI-assisted code management features such as automated code suggestions, recommended diffs, merge assistance, and deployment validation. Act as the customer advocate, translating user feedback into workflow enhancements that simplify source control and release management. Enhance developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.

At Databricks, our mission is to empower data teams to tackle the world's most challenging problems. The Databricks Free Edition provides an excellent opportunity for students, enthusiasts, and aspiring professionals to engage with data and AI hands-on, equipping them with the skills and confidence to innovate for the future.We are seeking a Senior Product Manager to join our team dedicated to enhancing Databricks Free Edition. In this role, you will work closely with a diverse group of product managers, engineers, and designers to craft experiences that foster engaging and impactful learning in data and AI.

At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, ranging from security threat detection to groundbreaking cancer treatment development. Our mission is to create and manage the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-impact challenges central to their goals. As a trusted partner for our clients, Databricks is committed to building the most reliable Data and AI platform globally. The Trust & Safety team plays a pivotal role in this endeavor, focusing on Security Foundation Engineering to safeguard our platform and our customers from ever-evolving threats. We are actively seeking a Senior Engineering Manager to lead this critical area and establish the blueprint for integrating security across every layer of our platform.

Join Databricks, where we are committed to empowering data teams to tackle the world's most challenging issues—from innovating transportation solutions to speeding up medical advancements. Our mission is realized through our exceptional data and AI infrastructure platform, which enables our clients to leverage deep data insights to enhance their business operations. Founded by engineers with a customer-first mindset, we eagerly embrace every technical challenge, from developing next-gen UI/UX interfaces to scaling our infrastructure across millions of virtual machines. And we are just getting started. As a Senior Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog), you will be at the forefront of the metadata and governance foundation for the Lakehouse. Unity Catalog not only ensures fine-grained security and governance capabilities but also enhances performance and productivity through features like lineage tracking, search, discovery, auditing, and compliance for our customers' data and AI assets. This role requires you to orchestrate all product activities from conceptualization to execution. You will engage with large enterprise customers to understand their needs, develop long-term product strategies, define product roadmaps, collaborate with engineering teams to build innovative solutions, and coordinate with various internal stakeholders to guarantee product success both pre- and post-launch. Your impact will include: Designing and launching new governance and security features within Unity Catalog. Defining and developing new platform services that empower Databricks’ data and AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to seamlessly integrate workload-specific governance capabilities that augment the value of Unity Catalog and the Lakehouse. Taking your visionary features from ideation and customer exploration to full-scale launch, including marketing strategies, field enablement, and fostering broad customer adoption across all segments. Providing insights about the data governance landscape, customer needs, and market trends to the engineering and leadership teams through close collaboration with customers and partners.

At Databricks, we are driven by a mission to empower data teams to tackle some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. We achieve this by providing an unparalleled data and AI infrastructure platform, enabling our clients to leverage deep insights for business improvement. Our goal is to simplify the complex data management journey for our users while upholding the highest standards of data security. As the Staff Product Manager for Security, you will spearhead the data security initiatives for the Databricks Lakehouse platform. Your leadership will shape the product strategy, focusing on the identification, prioritization, and delivery of essential external and internal controls that help our customers comply with privacy, confidentiality, digital sovereignty, and other regulatory requirements. You will design intuitive policy models that empower our customers to manage access to their critical assets effectively. Your contributions will instill confidence in IT and security administrators, facilitating increased adoption of Databricks within their organizations. Our data champions will benefit from the security measures and operational simplicity you provide, allowing them to concentrate on maximizing value for their users. You will directly report to a Senior Director of Product Management.

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, from detecting security threats to developing life-saving cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly transformed from a small office in Berkeley, California, into a global entity with over 1,000 employees. We are trusted by thousands of organizations, ranging from startups to Fortune 100 companies, with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to building highly technical products that address significant real-world needs. We continuously push the boundaries of data and AI technology while maintaining the resilience, security, and scalability necessary for our customers' success on our platform. We operate one of the largest software platforms, managing millions of virtual machines, generating terabytes of logs, and processing exabytes of data daily. At this scale, we frequently encounter faults in cloud hardware, networks, and operating systems, and our software must effectively shield our customers from such issues. As a Backend Software Engineer, you will collaborate closely with your team and product management to prioritize, design, implement, test, and maintain microservices for the Databricks platform and products. Responsibilities include writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Potential teams you may join include: Data Science and Machine Learning Infrastructure: Develop services and infrastructure at the intersection of machine learning and distributed systems, empowering our flagship collaborative workspace, notebooks, IDE integrations, and project management tools. Our technology also facilitates machine learning at scale through tools for environment management, distributed training, and managing the ML lifecycle via MLflow. Compute Fabric: Create the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform, ensuring robustness, flexibility, and security.

P-1126 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to developing cancer treatments. Our mission is to create and maintain the finest data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges central to their objectives. Our engineering teams are dedicated to designing advanced products that address significant needs across various sectors. We consistently innovate within the realms of data and AI technology while ensuring resilience, security, and scalability—key components for our clients' success on our platform. Databricks is entrusted with handling our clients' most sensitive data, and our Trust & Safety team is committed to building the most reliable data analytics and machine learning platform available. Security Engineering plays a vital role within Trust & Safety, and we seek experienced leaders to define our strategic vision in this essential domain.

Mission At Databricks, we strive to simplify and democratize data and AI, empowering organizations to tackle the world’s most challenging problems. As a Senior Product Designer specializing in AI and Business Intelligence (BI) experiences, your goal will be to create intuitive, trustworthy, and actionable advanced analytics and generative AI solutions for users of all backgrounds. Your role transcends traditional design; you will craft the future of human-AI collaboration. You will define how users can interact with their data in conversational language and receive reliable answers. Your design will influence how insights are produced, articulated, scrutinized, and disseminated, creating a seamless connection between sophisticated AI systems and human decision-making. This position is based in our Seattle office, where you will collaborate closely with product and engineering teams. The impact you will have: Revolutionize user data exploration through natural language and AI support. Create transparent and trustworthy interactions for AI-generated insights. Design experiences that facilitate rapid movement from exploration to validation to action. Encourage collaboration among data engineers, analysts, and business leaders. Help establish new design paradigms for AI-centric enterprise software. Contribute to the long-term AI/BI strategy, shaping how Databricks stands out in the analytics arena.

At Databricks, we are committed to empowering data teams to tackle the world's most challenging problems — from realizing the next mode of transportation to speeding up the progress of medical innovations. We achieve this by developing and maintaining the world's leading Data Intelligence Platform, enabling our clients to leverage profound data insights for enhancing their business operations.As a Senior Fullstack Software Engineer, you will collaborate closely with your team and product management to simplify data insights for our users. We seek engineers who are truly customer-focused, capable of embracing the complete product scope and user experience beyond mere technical execution. You will lay the groundwork for creating robust, scalable, and delightful products.Here are some of the impactful experiences you’ll help create for our customers, encompassing the entire project lifecycle from data loading to visualization, statistical modeling, and production deployment:Effortless workflows for creating, configuring, and managing extensive compute clusters, networks, and data sources.Design, deploy, test, and enhance sophisticated data pipelines with rich features to visualize data interactions.Smooth onboarding and management for all team members aiming to become data-driven.Deliver an exceptional SQL-centric data exploration and dashboard experience on the Databricks platform.Facilitate an interactive environment for collaborative data projects at a massive scale, with a straightforward pathway to production.

Databricks seeks a Senior Staff Product Operations Manager to join the team in Bellevue or Seattle, Washington. This role strengthens how the product management group operates, with a focus on refining workflows and supporting cross-functional collaboration. The goal: help products reach customers on time and meet high quality standards. Key responsibilities Streamline product management processes to improve efficiency and clarity Coordinate with multiple teams across the company to enhance alignment Assess current workflows and suggest practical improvements Support the establishment and maintenance of delivery timelines and quality benchmarks Offer insights that inform strategic planning and key decisions Location This role is based in Bellevue, Washington or Seattle, Washington.

Join our dynamic team at Databricks as a Solutions Architect. In this pivotal role, you will leverage your expertise to design and implement innovative solutions for our clients, driving success and ensuring satisfaction.

P-1413 At Databricks, we are driven by our mission to empower data teams in tackling some of the world's most challenging problems — from transforming transportation to fast-tracking medical innovations. We achieve this by developing and operating the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to elevate their business. As the UI Platform team, we are dedicated to providing frontend developers at Databricks with the tools they need to create extraordinary features. We support hundreds of frontend developers weekly and oversee every facet of the development loop, utilizing cutting-edge technologies such as Typescript, React, GraphQL, Yarn, Node, Webpack, and more! We are in search of a passionate Engineering Leader to drive one of two pivotal initiatives within the UI Platform. The first initiative focuses on empowering developers to transition from concept to production-ready code within 24 hours, managing the development loop and production monitoring to ensure seamless code deployment. The second initiative aims to create a Single Pane of Glass, integrating various elements of Databricks into a cohesive and user-friendly experience. In this role, you will report directly to the Senior Manager of Engineering. Your primary responsibilities will include: Leading a skilled engineering team focused on one of the aforementioned initiatives. Continuously recruiting top-tier talent and fostering development within the team. Establishing processes that align product vision and strategy with organizational goals. Creating software that is high-quality and user-friendly. Managing technical debt, making long-term architectural decisions, and balancing the product roadmap.

Databricks seeks a Commercial Account Executive to work with organizations that use data to create impact in their industries. This position fits sales professionals who bring both creativity and initiative, along with a strong background in handling transactional and strategic sales cycles. The main focus is to help customers understand Databricks products and support them as they make key decisions. Key responsibilities Find and develop new business opportunities within an assigned territory Secure new accounts while maintaining and growing relationships with current customers Guide clients through the sales process and help them see the broader value Databricks can provide Work to meet and exceed sales quotas, with accelerators available for performance above 100% of target Report directly to a regional sales manager Locations Austin, Texas Boston, Massachusetts Chicago, Illinois Denver, Colorado New York City, New York San Francisco, California Seattle, Washington Washington, D.C.

At Databricks, we are driven by a passion for empowering data teams to tackle the world's most challenging issues — from advancing transportation innovations to expediting medical breakthroughs. Our commitment lies in crafting and maintaining the leading data and AI infrastructure platform, enabling our clients to leverage deep data insights for enhanced business performance. With a foundation rooted in engineering and a customer-first mentality, we eagerly embrace each technical challenge, whether it involves designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. And we're just getting started.We are in search of a customer-focused, strategic, and results-driven Senior Product Manager for our Compute Platform. The Compute Platform is integral to powering Databricks workloads, offering various computing options tailored to different tasks - including Classic Compute, SQL Warehouses, and Serverless Compute. This platform is essential for many of our products and features.This position demands a highly collaborative and technically adept individual. You will coordinate product activities from vision to execution, engaging with large enterprise customers to comprehend their needs, developing a long-term product strategy, defining product roadmaps, and working closely with engineering to bring these products to life. In addition, you will liaise with various internal stakeholders to ensure product success both pre- and post-launch.Your impact will include:Researching, defining, and owning the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless).Collaborating closely with engineering, design, sales, and marketing teams to launch new features and drive user adoption.Interacting directly with customers and partners to gather insights and prioritize impactful solutions.Continuously enhancing efficiency and value for internal stakeholders and external customers through strategic execution.Establishing competitive differentiation between our compute platform and other SaaS and IaaS offerings.Working with leadership to ensure alignment of product initiatives with business objectives.Utilizing data-driven insights to gauge success, iterate on offerings, and improve user experiences.

Role Overview Databricks is hiring a Senior Staff Partner Engineer. This role works alongside product management and sales teams to improve the partner experience. The goal: help Databricks solutions deliver strong value for clients in the data analytics space. Locations New York City, New York San Francisco, California Seattle, Washington

RDQ126R35 About DatabricksAt Databricks, we empower data teams to tackle the world's most pressing challenges—from detecting security threats to developing cancer treatments. Our mission is to create the premier data and AI infrastructure platform, allowing our clients to focus on innovation. Our engineering teams are dedicated to pushing the limits of data and AI technology while ensuring our platform operates with the resilience, security, and scalability that businesses require for success. About the Role We are cultivating an expanding ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team crafts frameworks, tools, and best practices to facilitate seamless integrations, empowering developers and partners to create impactful solutions. As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a pivotal role in enabling customers to integrate cutting-edge applications, support developers in thriving on Databricks, and shape the future of data and AI platforms. Your Impact Define and lead the ecosystem strategy for Databricks, a vital aspect of our platform's growth. Influence how applications and integrations enhance the Databricks experience for developers, partners, and customers. Design frameworks, APIs, and tools that simplify the process for partners and developers to build, integrate, and scale applications within the Databricks ecosystem. Empower customers to integrate leading-edge applications and specialized functionalities, enabling them to achieve competitive differentiation and enhance their AI and data capabilities. Guide and mentor engineers across teams, offering technical guidance, architectural direction, and career development support. Promote a culture of innovation, best practices, and knowledge sharing. Collaborate across product, engineering, and business development teams to align technical roadmaps with strategic business objectives. Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement. Represent Databricks at industry events and conferences, shaping the broader data and AI landscape while engaging with partners, customers, and developers to influence the future of our platform.